Bosch Video Servers (IP Transmission) / Video Encoders(27)
Bosch Security Systems’ new VIP X series of IP network MPEG-4 video encoders and decoder offer 4CIF real-time video using less than half the bandwidth and storage space of earlier models. At a maximum frame rate of 30 frames/s, the series’ high-resolution real-time MPEG-4 compressed video offers virtually the same quality as the more space-hungry MPEG-2 compression. The Flexible MPEG-4 compression algorithm also gives users the choice of different frame rates, ranging from 1 up to the maximum of 30 frames/s, to optimize bandwidth and storage space. The VIP X encoders offer dual-streaming capability which enables them to provide two parallel digital video streams encoded with different video quality settings. The VIP X1 offers full-motion video for a single camera, while the VIP X2 works with two cameras and offers greater convenience, cost-savings and ease of installation than a separate encoder for each camera. Both encoders also feature fully-interlaced video, alarm inputs and relay outputs, and pan/tilt/zoom control.The new high-performance Single/Quad Stream VIP XD decoder allows video to be received and displayed on analog or computer VGA monitors. The cost-effective design features a robust MPEG-4 engine to convert high-quality 4CIF resolution digital-video streams at up to 30 frames/s into analog video for viewing. The decoder can decode up to 4 streams at once, delivering a quad view on the operator’s monitor. The VIP XD is definitely the most powerful decoder in Bosch’s family of IP products and is compatible with all VIP and VideoJet encoders. These products are ideal for a wide range of security applications where the highest quality video is needed, bandwidth is limited and storage needs to be saved. Reduced data storage and system costs Seamless integration with existing analog systems Highest resolution video for half the storage (compared with MPEG-2) Single/Quad stream decodingAdd to Compare
16 channels, Audio Input, Alarm Input, H.264/M-JPEG, IPv4, IPv6, UDP, TCP, HTTP, HTTPS, RTP/ RTCP, IGMP V2/V3, ICMP, ICMPv6, RTSP, FTP, Telnet, ARP, DHCP, NTP (SNTP), SNMP (V1, MIB-II), 802.1x, DNS, DNSv6, DDNS (DynDNS.org, selfHOST.de, noip.com), SMTP, iSCSI, UPnP (SSDP), DiffServ (QoS), LLDP, SOAP, Dropbo, 10/100/1000 Base-T, auto sensing, half/full duplex, RJ45, 704 x 576 p, 30, 44 x 483 x 157, 1,700, 23 W, 100 ~ 240 V AC, 0 ~ 50 C (32 ~ 122 F), 0 ~ 95Add to Compare
2 channels, Alarm Input, H.264, IPv4, IPv6, UDP, TCP, HTTP, HTTPS, RTP/ RTCP, IGMP V2/V3, ICMP, ICMPv6, RTSP, FTP, Telnet, ARP, DHCP, NTP (SNTP), SNMP (V1, MIB-II), 802.1x, DNS, DNSv6, DDNS (DynDNS.org, selfHOST.de, noip.com), SMTP, iSCSI, UPnP (SSDP), DiffServ (QoS), LLDP, SOAP, Dropbo, 10/100 Base-T, auto-sensing, half/full duplex, RJ45, 704 x 576 p, 30, 38 x 146 x 183, 600, 9 W, 12 V DC, 0 ~ 50 C (32 ~ 122 F), 0 ~ 90Add to Compare
Audio Input, Alarm Input, H.264/M-JPEG, IPv4, IPv6, UDP, TCP, HTTP, HTTPS, RTP/ RTCP, IGMP V2/V3, ICMP, ICMPv6, RTSP, Telnet, ARP, DHCP, NTP (SNTP), SNMP (V1, MIB-II), 802.1x, DNS, DNSv6, DDNS (DynDNS.org, selfHOST.de, noip.com), SMTP, iSCSI, UPnP (SSDP), DiffServ (QoS), LLDP, SOAP, digest auth, 10/100 Base-T, auto-sensing, half/full duplex, RJ45, 60, 38 x 146 x 183, 600, 9 W, 12 V DC, 0 ~ 50 C (32 ~ 122 F), 0 ~ 90Add to Compare
Alarm Input, H.264/M-JPEG, IPv4, IPv6, UDP, TCP, HTTP, HTTPS, RTP/ RTCP, IGMP V2/V3, ICMP, ICMPv6, RTSP, FTP, Telnet, ARP, DHCP, NTP (SNTP), SNMP (V1, MIB-II), 802.1x, DNS, DNSv6, DDNS (DynDNS.org, selfHOST.de, noip.com), SMTP, iSCSI, UPnP (SSDP), DiffServ (QoS), LLDP, SOAP, Dropbo, 10/100 Base-T, auto-sensing, half/full duplex, RJ45, 1080p, 30, 38 x 146 x 183, 600, 9 W, 12 V DC, 0 ~ 50 C (32 ~ 122 F), 0 ~ 90Add to Compare
Multichannel encoders plus new decoder module capable of decoding MPEG-4 and MPEG-2 video streams Second-generation VIP X1600 XF base unit with conventional and fibre network capabilities Bosch Security Systems has added important enhancements to its VIP X1600 video-over-IP series which as well as video encoding functionality now also provides video decoding functionality. In the VIP X1600 XF series, Bosch has introduced a new switch platform in the rack-mount base unit that accommodates multichannel video and audio encoder modules as well as the new VIP X1600 XFMD decoder modules. Bosch has also introduced several other enhancements in the VIP X1600 XF base unit. The two 1 Gbps Ethernet ports on the front of the base unit, originally included to provide network port redundancy, are now supplemented by an additional 1 Gbps Ethernet port on the rear. This provides a greater choice of network connectivity and allows for easier inside-rack cabling like, for example, direct connection to an iSCSI storage array (Internet Small Computer System Interface). The new base unit also features a 1 Gbps small form factor pluggable (SFP) optical transceiver slot on the front to enable direct fibre connection to a remote Storage Area Network. As with the original series, the VIP X1600 XF base unit can accommodate up to four encoder modules, with each four analog video inputs or combined analog video/audio inputs and redundant power supply. Additionally, the VIP X1600 XF base unit can accommodate up to four of the new VIP X1600 XFMD multichannel decoder modules featuring four analog video outputs plus bi-directional audio. Encoder and decoder modules can be mixed and matched within the base unit and the modules are also "hot swappable", allowing modules to be added or exchanged at any time without interrupting transmission to the existing channels. Featuring four analog BNC video outputs with bi-directional audio, the VIP X1600 XFMD decoder module is capable of decoding up to four MPEG-2 video streams without audio or up to 10 MPEG-4 video streams each at a maximum resolution of 4CIF@25/30 ips. The decoder can also be set up to display 4 full screen video signals or 2 full screen and 2 quad views. This allows the 10 MPEG-4 live video streams from a single decoder to be displayed on a compact monitor wall. If 4 decoder modules are used, the system can serve a monitor wall of up to 16 analog monitors displaying the live video from up to 40 cameras. Changing the setup and camera selection in small installations is easy with the decoder's highly intuitive web-based user interface (which can be accessed via a video management system). The system administrator can set up a network scan to identify all cameras on the network, then assign the output of each camera to a specific analog monitor using either on-screen selection buttons or a drag & drop function. The interface also features an on-screen auto connect switch that allows the system configuration to be stored and automatically re-established in the event of a power cut to the system or in the event of any network failure.Add to Compare
4 channels, MPEG-4, M-JPEG, JPEG, RTP, Telnet, UDP, TCP, IP, HTTP, HTTPS, FTP, DHCP, 10/100 Base-T, auto-sensing, half/full duplex, RJ4, 30 fps, 33 x 142 x 178, 600, 11 VA, 10 ~ 30 V DC, 0 ~ +50, 20 ~ 80Add to Compare
The Bosch VIP-X1XF Main Profile encoder delivers real-time H.264 compressed video over IP. Delivering two independent streams per camera, each stream delivers full frame rate at best quality and are adjustable to allow viewing and recording at different quality levels. Equipped with a hardware accelerator for Bosch IVA functions, VIP-X1XF takes Intelligence-at-the-Edge to the next level. Same bandwidth, twice the resolutionThe implementation of main profile encoding gives users the benefit of DVD image quality video (4CIF) at the same bandwidth as MPEG-4 half resolution video (2CIF)*. Furthermore Bosch's low latency implementation of this main profile technology offers all the compression benefits of live video without sacrificing image quality, for top-of-the-line H.264 implementation.Designed for IVADesigned for intelligence from the ground up, VIP-X1XF brings you virtually unlimited performance for best quality video at 25/30 images per second@4CIF and full Intelligent Video Analytics. Adding VIP-X1XF, complete with optional IVA licence, to your existing analog cameras transforms them into powerful, automated detectors that help operators to stay focused. The encoder brings a new level of automation to your CCTV monitoring. Edge-based, real-time processing instantly identifies and warns security teams of alert conditions, giving them the information they need to act quickly.SD card and iSCI recordingRecord two video streams independently on different media. Video can be recorded centrally on iSCI drives managed by Bosch VRM (Video Recording Manager) and redundantly on local media. If networks fail, Bosch VRM fills in gaps in the central recording via automatic network replenishment (ANR).Bilinx supportWith built-in Bilinx support, VIP-X1XF ensures optimum investment protection when migrating to IP. Existing cameras can stay in place, remote configuration functions and PTZ controls keep working without extra cabling, simply connect the coax to the encoder and its done.BenefitsUltra compact size for easy installation close to the cameraH.264 Main Profile encoding for double the resolution with the same bandwidth requirement*Two independent IP video streams per channel allow viewing and recording at two different quality levels ONVIF compliant, compatibility between manufacturers provides customers with open systemsDesigned for IVA, transforms your analog cameras into powerful automated detectorsCompatible with Bosch Forensic Search which allows you to scan hours of video in just secondsSet adjustable privacy masks, a major benefit for urban surveillance applicationsDirect to iSCI recording and Bosch VRM support eliminates the need for NVR's, significantly reducing cost of ownershipBosch ANR support enables video recording even during network outages * In comparison to MPEG-4, depending on scene and quality settingsAdd to Compare
16 channels, IPv4, IPv6, UDP, TCP, HTTP, HTTPS, RTP, IGMP V2/V3, ICMP, RTSP, FTP, Telnet, ARP, DHCP, SNTP, SNMP (V1, MIB?II), 802.1x, SMTP, iSCSI, UPnP (SSDP), RSTP, 10/100/1000 Base?T, auto sensing, half/full duplex, RJ45, 35 x 118 x 52, 400, 100 ~ 240 V AC, 0 ~ 50 C (32 ~ 122 F), 0 ~ 95Add to Compare
4 channels, Audio Input, Alarm Input, H.264, IPv4, IPv6, UDP, TCP, HTTP, HTTPS, RTP/ RTCP, IGMP V2/V3, ICMP, ICMPv6, RTSP, FTP, Telnet, ARP, DHCP, SNTP, SNMP (V1, MIB-II), 802.1x, DNS, DNSv6, DDNS (DynDNS.org, selfHOST.de, noip. com), SMTP, iSCSI, UPnP (SSDP), DiffServ (QoS), LLDP, SOAP, Dropbox, CH, 10/100 Base?T, auto-sensing, half/full duplex, RJ45, 38 x 146 x 183, 600, 9 W, 12 V DC, 0 ~ 50 C (32 ~ 122 F), 0 ~ 90Add to Compare
4 channels, 4, H.264, MPEG-4, MJPEG, RTP, Telnet, UDP, TCP, IP, HTTP, HTTPS, FTP, DHCP, 10/100 Base-T, auto-sensing, half/full duplex, RJ4, 30 fps, 33 x 142 x 178, 600, 19 VA, 10 ~ 30 V DC, 0 ~ 50, 20 ~ 80, Analog composite, 0.7 to 1.2 Vpp, NTSC or PALAdd to Compare
4 channels, 4, H.264, MPEG-4, MJPEG, RTP, Telnet, UDP, TCP, IP, HTTP, HTTPS, FTP, DHCP, 10/100 Base-T, auto-sensing, half/full duplex, RJ4, 30 fps, 33 x 142 x 178, 600, 19 VA, 10 ~ 30 V DC, 0 ~ 50, 20 ~ 80, Analog composite, 0.7 to 1.2 Vpp, NTSC or PALAdd to Compare
Browse Video Servers (IP Transmission) / Video Encoders
Video server (IP transmission) products updated recently
Securing Intelligent Transportation Systems (ITS) in the transportation industry is multi-faceted for a multitude of reasons. Pressures build for transit industry players to modernise their security systems, while also mitigating the vulnerabilities, risks, and growth-restrictions associated with proprietary as well as integrated solutions. There are the usual physical security obstacles when it comes to increasingly integrated solutions and retrofitting updated technologies into legacy systems. Starting with edge devices like cameras and intelligent sensors acquiring video, analytics and beyond, these edge devices are now found in almost all public transportation like buses, trains, subways, airplanes, cruise lines, and so much more. You can even find them in the world’s last manually operated cable car systems in San Francisco. The next layer to consider is the infrastructure and networks that support these edge devices and connect them to centralized monitoring stations or a VMS. Without this layer, all efforts at the edge or stations are in vain as you lose the connection between the two. And the final layer to consider when building a comprehensive transit solution is the software, recording devices, or viewing stations themselves that capture and report the video. The challenge of mobility However, the transportation industry in particular has a very unique challenge that many others do not – mobility. As other industries become more connected and integrated, they don’t usually have to consider going in and out or bouncing between networks as edge devices physically move. Obviously in the nature of transportation, this is key. Have you ever had a bad experience with your cellular, broadband or Wi-Fi at your home or office? You are not alone. The transportation industry in particular has a very unique challenge that many others do not – mobility Can you trust these same environments to record your surveillance video to the Cloud without losing any frames, non-stop 24 hours a day, 7 days a week, 365 days a year? To add to the complexity – how do you not only provide a reliable and secure solution when it’s mobile, traveling at varying speeds, and can be in/out of coverage using various wireless technologies? Waiting to upload video from a transport vehicle when it comes into port, the station, or any centralized location is a reactive approach that simply will not do any longer. Transit operations require a more proactive approach today and the ability to constantly know what is going on at any given time on their mobile vehicles, and escalate that information to headquarters, authorities, or law enforcement if needed; which can only occur with real-time monitoring. This is the ultimate question when it comes to collecting, analyzing, and sharing data from mobile vehicles – how to get the video from public transportation vehicles alike to headquarters in real time! Managing video data In order to answer this question, let’s get back to basics. The management and nature of video data differs greatly from conventional (IT) data. Not only is video conducted of large frames, but there are specific and important relationships among the frames and the timing between them. This relationship can easily get lost in translation if not handled properly. This is why it’s critical to consider the proper way to transmit large frames while under unstable or variable networks. The Internet and its protocols were designed more than two decades ago and purposed for conventional data. Although the Internet itself has not changed, today’s network environments run a lot faster, expand to further ranges, and support a variety of different types of data. Because the internet is more reliable and affordable than in the past some might think it can handle anything. However, it is good for data, but not for video. This combination makes it the perfect time to convert video recording to the Cloud! Video transmission protocol One of the main issues with today’s technology is the degradation of video quality when transmitting video over the Internet. ITS are in dire need for reliable transmission of real-time video recording. To address this need a radical, yet proven, video transmission protocol has recently been introduced to the market. It uses AI technology and to adapt to different environments in order to always deliver high quality, complete video frames. This protocol, when equipped with encryption and authentication, enables video to be transmitted reliably and securely over the Internet in a cloud environment. One of the main issues with today’s technology is the degradation of video quality when transmitting video over the Internet Finally, transportation industry has a video recording Cloud solution that is designed for (massive) video that can handle networks that might be experiencing high error rate. Such a protocol will not only answer the current challenges of the transportation industry, but also make the previously risky Cloud environment safe for even the most reserved environments and entities. With revolutionary transmission protocols, the time is now to consider adopting private Cloud for your transportation operations.
For decades, the nature of global safety has been evolving. From physical security threats like large-scale terrorist attacks and lone actor stabbings to chemical threats such as the Salisbury poisonings and even microbiological threats such as COVID-19, new challenges are constantly arising and the threat landscape we operate in today is constantly changing. Compounding the complexity of the security issues is the complexity and nature of attacks. With the economic downturn, there is the traditional rise in theft, violence and other crimes. Compound this with unmanned businesses and work-at-home staff, and there is a perfect storm for a rise in security threats. Artificial intelligence (AI) and specifically the branch of AI known as machine learning (ML), was already causing widespread disruption in many industries, including the security industry. AI has been a driving force to replace labor-based business models with integrated data and actionable intelligence that is context-aware. It has become apparent that AI will play a big part in the ongoing fight against both pandemics such as COVID-19, as well as other threats that we may face in the future. With all of this in mind, 2021 is poised to be a big year for AI growth. While AI is going to continue to impact our lives in dozens of ways, from smart sensors to face mask compliance detection, the following reflects a few top trends and challenges that I have my eye on for 2021 as we close out this year. The rise of smart city investments One such example is the increasing development of smart cities and how AI can be leveraged to build safe communities. To date, we’ve seen an increase in the number of smart city programmes around the globe; cities that are beginning to deploy innovative technologies for the management and ease of life services. Compounding the complexity of the security issues is the complexity and nature of attacks Typical development of a city includes standard infrastructure - roads, schools, power, water, transportation. Now, internet, data and AI capabilities are part of the standard infrastructure requirements for all new developments. AI promises to deliver increased efficiencies with the infrastructure that will accommodate growing populations while reducing our impact on the environment, resources, and communities. Global cities now account for more than half of the world’s population, and the United Nations projects the number to balloon to 68% by mid-century. Owing to both demographic shifts and overall population growth, that means that around 2.5 billion people could be added to urban areas by the middle of the century, predicts the UN Department of Economic and Social Affairs (DESA). With an increase in population has come an increase in global spending on smart city initiatives to drive down the impact of growing urban concentration. Global spending on smart city initiatives is expected to total nearly $124 billion this year, an increase of 18.9% over 2019, according to IDC's Worldwide Semiannual Smart Cities Spending Guide, while Singapore, Tokyo, London and New York as the big spenders - expected to spend more than $1 billion in 2020. Using AI-driven technology to create safer public and private spaces Today, security solutions driven by AI are being developed and can be covertly deployed across a range of physical environments to protect the population in a more efficient, and accurate manner. As we look ahead to the future of public safety, it’s clear that new AI technology can dramatically improve the effectiveness of today’s physical security space. One such deployment is the use of video object recognition/computer vision software that can be integrated into existing video monitoring security (VMS) systems. These enhanced VMS systems can be deployed both inside and outside of buildings to identify risks and flag threats, such weapons, aggressive behaviours, theft, and safety compliance. This helps to minimize the impact of a breach by an early alert to onsite security in real-time to the location and nature of the potential threat, allowing them to intervene before a loss occurs. These same AI-enabled video solutions can similarly be used to provide advanced business operations in retail, logistics, and manufacturing organizations. Multi-sensor security solutions Also, targeted magnetic and radar sensor technologies, concealed in everyday objects like planter boxes or inside walls, can now scan individuals and bags entering a building for concealed threat objects. Using AI/machine learning, these two sensor solutions combined can identify metal content on the body and bag and match the item to a catalog of threat items, such as guns, rifles, knives and bombs. Security solutions driven by AI are being developed and can be covertly deployed across a range of physical environments Without this advanced multi-sensor solution, it becomes nearly impossible to discover a weapon on a person's body before it appears in an assailant’s hands. This multi-sensor solution allows for touchless, unobtrusive access to a building, but allows for immediate notification to onsite security when a concealed threat is detected. The hidden technology thus empowers security staff to intercept threats before they evolve into a wider scale attack, while also maintaining the privacy and civil liberties of the public, unless, of course, they are carrying a concealed weapon or pose a physical threat. With the advent of sophisticated surveillance and technological innovation, a level of caution must be exerted. Despite the ongoing global debate, there remains little regulation about the use of AI technologies in today’s physical security space. One thing is certain; it must be deployed in the right place, at the right time, with the right privacy and civil liberty protection objectives. People don’t want to be protected by omnipresent, obstructive and overbearing security systems that infringe on their privacy and civil liberties. They want a proper balance between security and their current way of life, one that must be fused together. Technology and tracing COVID-19 Machine learning-based technologies are playing a substantial role in the response to the COVID-19 pandemic. Traditionally, the key purpose of surveillance systems has been to detect and deter threats, including the detection of visible and hidden weapons and abnormal behavior. While this, of course, remains a primary focus, today we are seeing how surveillance systems defend against new invisible threats, as well as rapidly automate the process of contact-tracing to capture and contain a virus before it spreads. Again, the ability to track and trace through parsing algorithms that can manage through enormous amounts of data provides a highly scalable and rapid response mechanism to control the spread of threats. AI has demonstrated potential for identifying those displaying symptoms of infectious diseases, without requiring physical human contact Although the threat may not be visible, it is just as destructive. By incorporating AI into existing technologies, government, healthcare and security professionals can monitor public spaces and environments through the combined use of digital and thermal video surveillance cameras and video management systems); just one of the solutions being explored. AI has demonstrated potential for identifying those displaying symptoms of infectious diseases, without requiring physical human contact. By Using AI-powered video analytic software, businesses can monitor face masks, social distancing and large gathering compliance and also detect elevated body temperature. Critically, technology must be capable of both identifying and tracking the virus but also be unobtrusive. An unobtrusive system that is adaptable enough to be deployed across a range of environments where the public gathers in enclosed spaces is necessary to be effective. Security in 2021 Technology has proven itself to be a valuable ally in times of crisis. For smart cities, the use of innovative AI/machine learning technologies will help optimize security solutions in areas that are brimming with potential. As we look ahead to the future of security in a world that is impacted by such a wide range of threats, from physical to chemical to microbiological, it’s clear that new technologies, specifically AI can dramatically improve the effectiveness of security systems and help us to better defend against a wide spectrum of threats. Technology has a huge role to play in making our communities safe in 2021 and beyond, but for security systems to be effective, they must not be oppressive or obstructive. This will ensure they have the full support of the public - the key to success.
Critical infrastructure facilities that must secure large areas with extended outer boundary and numerous entry points, present a particularly difficult challenge when it comes to perimeter protection. As such, true end-to-end perimeter protection calls for the utilization of a sophisticated, multi-layered solution that is capable of defending against anticipated threats. Integrated systems that incorporate thermal imaging, visible cameras, radar and strong command and control software are crucial for covering the various potential areas of attacks. Let’s look at these technologies and the five key functions they enable to achieve an end-to-end solution that provides intrusion detection, assessment and defense for the perimeter. 1. Threat Recognition The first step in effectively defending against a threat is recognizing that it’s there. By combining state-of-the-art intrusion detection technologies, facilities can arm themselves with a head start against possible intruders. An exceptionally important aspect of effective perimeter protection is the ability to conduct 24-hour surveillance, regardless of weather conditions, environmental settings, or time of day. Visible cameras do not perform as well in low light scenarios and inclement weather conditions. However, thermal imaging cameras can provide constant protection against potential intruders, regardless of visual limitations, light source or many environmental factors. In fact, facilities such as power stations located near bodies of water can use thermal cameras to create what is known as a “thermal virtual fence” in areas where they are unable to utilize the protection of a physical fence or wall. Deterring suspicious activity can be achieved through real-time two-way audio, a simple but powerful tool Critical infrastructure applications require not only continuous video surveillance and monitoring, but also a solution that yields highly reliable intrusion detection, with fewer false alarms. This need makes advanced video analytics a must for any adequate surveillance system. Features like dynamic event detection and simplified data presentation are game changing in supporting accurate intrusion analysis and facilitating a proactive response. Advanced analytics will provide multiple automated alarm notification options, including email, edge image storage, digital outputs or video management software (VMS) alarms. Incorporating high quality, unique and adaptive analytics can virtually eliminate false alarms, allowing security personnel to respond more efficiently and effectively, while also lowering overall cost for the end user. While surveillance technologies such as radar, thermal imaging and visible cameras, or video analytics work well on their own, utilizing all of these options together provides an advanced perimeter detection system. For example, ground surveillance radar can detect possible threats beyond the fence line as they approach and send a signal to pan-tilt-zoom (PTZ) cameras, triggering them to slew to a specific location. From there, embedded analytics and visible cameras can further identify objects, notify authorized staff, and collect additional evidence through facial recognition or high-quality photos. 2. Automatic Response Systems Once an intrusion attempt is discovered, it is important to act fast. Organizing a response system that can initiate actions based on GPS location data, such as the slewing of PTZ cameras, automated intruder tracking or activated lighting sensors, greatly increases staff’s situational awareness while easing their workload. For instance, thermal imagers deployed in conjunction with video analytics can be used to generate an initial alarm event, which can then trigger a sequence of other security equipment and notifications for personnel to eventually respond to. Having all of this in place essentially lays the entire situation out in a way that allows responders to accurately understand and evaluate a scene. Power stations located near bodies of water can use thermal cameras to create a “thermal virtual fence” in areas where they are unable to utilize the protection of a physical fence or wall 3. Deterring Suspicious Activity After the designated auto-response mechanisms have activated and done their job, it is time for responders to acknowledge and assess the situation. From here, authorized personnel can take the next appropriate step toward defending against and delaying the threat. Deterring suspicious activity can be achieved through real-time two-way audio, a simple but powerful tool. Often, control room operators can diffuse a situation by speaking over an intercom, telling the trespasser that they are being watched and that the authorities have been notified. This tactic, known as ‘talk down’, also allows officers to view the intruder’s reaction to their commands and evaluate what they feel the best next step is. If individuals do not respond in a desired manner, it may be time to take more serious action and dispatch a patrolman to the area. 4. Delay, Defend, Dispatch And Handle The possible danger has been identified, recognized and evaluated. Now it is time to effectively defend against current attacks and slow down both cyber and physical perpetrators’ prospective efforts. Through the use of a well-designed, open platform VMS, security monitors can manage edge devices and other complementary intrusion detection and response technologies, including acoustic sensors, video analytics, access control and radio dispatch. A robust VMS also enables operators to control functions such as video replay, geographical information systems tracking, email alerts and hand-off to law enforcement. With the right combination of technologies, facilities can take monitoring and evidence collection to the next level The primary purpose of the delay facet of the overall perimeter protection strategy is to stall an attempted intrusion long enough for responders to act. Access control systems play a key role in realizing this objective. When a security officer sees a non-compliant, suspicious individual on the camera feed, the officer can lock all possible exits to trap them in one area all through the VMS. 5. Intelligence: Collect Evidence And Debrief More data and intelligence collected from an event equals more crucial evidence for crime resolution and valuable insight for protecting against future incidents. With the right combination of technologies, facilities can take monitoring and evidence collection to the next level. One innovative resource that has become available is a live streaming application that can be uploaded to smart phones and used for off-site surveillance. This app gives personnel the power to follow intruders with live video anywhere and allows operators to monitor alarm video in real-time. Geographic Information System (GIS) maps are computer systems utilized for capturing, storing, reviewing, and displaying location related data. Capable of displaying various types of data on one map, this system enables users to see, analyze, easily and efficiently. Multi-sensor cameras, possessing both visible and thermal capabilities, provide high-contrast imaging for superb analytic detection (in any light) and High Definition video for evidence such as facial ID or license plate capture. Integrating these two, usually separated, camera types into one helps to fill any gaps that either may normally have. Still, in order to capture and store all of this valuable information and more, a robust, VMS is required. Recorded video, still images and audio clips serve as valuable evidence in the event that a trial must take place to press charges. Control room operators can use data collection tools within their VMS to safely transfer video evidence from the field to the courtroom with just a few clicks of their mouse. More advanced video management systems can go a step further and package this data with other pertinent evidence to create a comprehensive report to help ensure conviction.
Q: Mr. Seiter, Mr. Ekerot, you both joined Bosch Building Technologies’ business unit Video Systems & Solutions as Senior Vice Presidents in March 2020, when the Coronavirus pandemic was just beginning. How did your business unit get through 2020? Magnus Ekerot: The crisis was also felt at Bosch. At the same time, demand has risen for solutions that keep businesses open and protect people's health. We offer corresponding video solutions that can make a significant contribution to containing the pandemic. Michael Seiter: Overall, we managed the past year well despite the challenges and have been growing again since the third quarter compared to 2019. We see good opportunities for further growth in 2021. Q: Has the Corona crisis again accelerated the development of smart technologies in the security technology market, and does the security market in contrast to most industries benefit from the crisis more than it suffers? Michael Seiter: The Corona crisis has definitely demonstrated that the future lies in data-driven solutions. Thanks to our product development strategy already being based on this, we at Bosch were very quickly able to develop new products for the ‘New Normal’ and to expand existing products accordingly. To give one or two examples: in cooperation with Philips, we very quickly developed a people counting solution for retail operations – smart Philips displays in conjunction with smart cameras from Bosch that provide protection for staff and customers. The In-Store Analytics software solution was also implemented with additional features. Shop owners can now make decisions based on customer movement data such as “Where do we position products to avoid queues or crowds?” HTD involves a touch-free monitoring system to accurately and speedily identify people with heightened skin temperature The latest highlight is the Bosch Human Skin Temperature Detection solution, in short HTD. This involves a touch-free monitoring system to accurately and speedily identify people with heightened skin temperature at control points in offices, factory floors, or airports. The benefits of previously existing solutions on the market are sometimes called into question. Competitors are often unable to deliver what they promise because, for example, the measured temperature of the skin does not correspond to the core temperature of the person, or fluctuates, due to environmental influences. Therefore, we developed a software-based solution that, in compliance with GDPR, first allows people with potentially elevated body temperatures to be filtered out, and in a second step, allows medical personnel to perform a more targeted fever measurement. Q: You see a lot of potential for the video security industry in new technologies such as Artificial Intelligence and the Internet of Things. What specific opportunities do you mean, and how are you leveraging these technologies at Bosch Building Technologies? Michael Seiter: Bosch has committed itself fully to an “AIoT” – AI meets IoT – strategy. The development of AI algorithms and software, in general, is at Bosch significantly driven in the security space. By AIoT, we specifically mean the networking of physical products and the deployment of artificial intelligence. With AI we aim to enable clients to understand events at an ever-deeper level and predict them in the future – the keyword being predictive – so that they can act proactively. This is particularly important for health and safety. An example is the Intelligent Insights solution where the user can anticipate potentially dangerous situations, for instance in maintaining social distance and a maximum number of people numbers in any one area. Q: From your point of view do you have an advantage over other suppliers when it comes to AI-based products in the video arena? Michael Seiter: The analysis and utilization of video data have long been front and center with us. Since 2016 we’ve been following the strategy of offering AI applications in the form of integrated intelligent video analytics as a standard in our network cameras. Data such as color, object size, object speed, and direction are all measured. Simply put, you can say this is seeing and understanding – which is the principle behind smart security cameras. Today it’s much more a question of intelligent, data-based solutions than collecting high-quality pictures and storing them for the record. Bosch has been investing heavily in AI for years, from which we can benefit greatly in our area. In the first quarter, for example, we will launch a vehicle detector based on deep learning that is already running on our cameras. This will create significant added value for our customers in the area of intelligent traffic control. Q: Mr. Ekerot, what advantages do customers have in AI-based video security from Bosch? Magnus Ekerot: A key advantage is strong customer focus with tailored solutions that are at the same time modular and scalable through new AI algorithms A key advantage is our strong customer focus with tailored solutions that are at the same time modular and scalable through new AI algorithms. Take the example of Camera Trainer, a machine learning software that can be directly uploaded to Bosch network cameras. The camera is thus trained up on recognizing objects and situations – tailored to the specific needs of our customers. If the camera detects the defined scenario, it performs a predefined action in real-time – for example, a count or an alarm. The latest example is our new camera platform Inteox. As a completely open camera platform, Inteox combines Bosch's intelligent video analytics with an open operating system. This allows programmers to develop specific software applications - or apps - for various application purposes. These can then be loaded onto cameras – the same principle as an app store for smartphones. To sum up, Bosch AI applications support customer-specific needs related to data analysis while enabling totally new applications within and beyond the video security market. Q: Can you name a specific current project where Bosch has deployed an AI-based solution? Magnus Ekerot: A current ground-breaking project using our smart cameras is being implemented as a pilot in the USA. Smart Ohio enables users to configure more intelligent traffic flows and thus ensure mobility, safety, and the efficient use of roads today and tomorrow. The new vehicle detector mentioned by Mr. Seiter also plays a central role here. Our overall goal is to provide connected smart sensor solutions for public and private transportation agencies to enable them to operate their roads safely and efficiently. The Intelligent Insights can anticipate potentially dangerous situations, for instance in maintaining social distance and a maximum number of people numbers in any one area Q: Mr. Seiter, you have been involved with the topic of mobility for some time. What experience from your previous job in the automotive business of Bosch might help you when it comes to further develop the video portfolio of Bosch Building Technologies? Michael Seiter: There's a lot to tell. First of all, the development of core algorithms for video-based solutions, whether for autonomous driving, for vehicle interior monitoring, or for our Bosch Building Technologies video systems, all come together at Bosch's Hildesheim location. This gives us considerable synergies and allows us to bring R&D results to market faster and more flexibly. Essentially, assisted driving systems use AI algorithms that process ever-increasing volumes of video data. Attempts are being made to imitate the human being and enable the vehicle to understand better the surrounding environment with its ‘eyes’. This predictive capability is especially critical with autonomous driving. For example, key questions include: “How should the car respond and what could potentially happen next?” “What kind of environment does it find itself in?” etc. There are many activities in this area at Bosch that in my new role in security we can also strongly benefit from. I am now bringing a lot of this experience and existing R&D achievements to Bosch Video Systems & Solutions, which also results in further synergies with our mobility division: At Stuttgart Airport, autonomous driving is already being implemented together with Mercedes-Benz and the parking garage operator Apcoa as part of the "Automated Valet Parking" project, or AVP for short, in which intelligent video systems from Bosch Building Technologies are making a significant contribution. Mr. Ekerot, you have a lot of experience in the video security area. Where do you position Bosch Building Technologies now in this market and what specific goals are you pursuing? Magnus Ekerot: Our clients are looking for reliable partners and products. We are a strong brand; you can rely on Bosch products. Bosch is a thought leader in video and a pioneer in AI applications in this field since 2016. Data security is everything to us: Our products conform to the EU’s GDPR regulations. Beyond that, we have an extensive camera portfolio that complies with the US National Defense Authorization Act (NDAA) for video security devices. This enables our portfolio to be deployed for example within US government buildings. We are planning to conclude more software maintenance agreements with our clients in 2021. These deliver investment and future security for our customers and include for example a ‘patch guarantee’ along with regular updates with new functionalities. This is the first step in a comprehensive plan to access new revenue channels for us and our partners delivering the best technology and excellent service to the end-user! Overall, many new products will be launched this year and this trend will intensify. Our goal is to establish new product families that follow a simple principle: “The development and delivery of disruptive, predictive video solutions that every user can trust because of the underlying sustainable forward-thinking mindset.” It’s been much discussed of late that Bosch is one of the very first companies globally that operates on a CO2-neutral basis. How does sustainability impact your business? Magnus Ekerot: IoT solutions are actually sustainable and contribute to environmental protection Our IoT solutions are actually sustainable and contribute to environmental protection. For example, our cameras are sustainable in that they remain up-to-date through software updates and needn’t be constantly exchanged for new ones. Our systems demonstrate sustainability also operationally as they can be managed remotely. System integrators don’t need to be physically present, thus avoiding unnecessary travel with its accompanying emissions. All in all, Bosch Building Technologies develops ways to accompany and support our clients in reaching their climate goals via new technologies. This can be done, for example, through improved energy efficiency, the total cost of ownership models, organizing and simplifying the supply chain, and helping our customers meet their social responsibilities. The Power of Bosch helps us here to leverage company-wide research to be two steps ahead, a shade faster, when it comes to new technologies and initiatives that our and future generations will benefit from. I should also say that I am personally very proud to work for a company that set an ambitious climate goal for itself and achieved it! Can you already share a preview of your technology innovations in 2021? Michael Seiter: We see great market potential for our cameras that use artificial intelligence and can be updated flexibly throughout their lifecycles. I have already mentioned the deep learning-based vehicle detector in our cameras. More such solutions – also for other applications where object and person recognition are important – will follow in the course of the year. And the best part is: with AI, the more data we collect and the more intelligently we use it, the better the solutions become and the more added value they bring to the customer. This will revolutionize our industry! Another example is our cloud-based solutions, for example for alarm monitoring. Here, we can now also integrate third-party cameras and, building on this, offer and jointly develop our intelligent software-based solutions. This gives our customers more opportunities to take advantage of the opportunities created by AI. The trend towards integration of the various security technologies seems to be driven mostly by the rapid progress in software development. Does this affect full-range suppliers such as Bosch and what specific plans for fully integrated security solutions do you have for the future? Michael Seiter: Naturally, this suits us as a full-scope supplier. Bosch solutions are deployed in many cross-domain client projects. We have experts for the different domains under one roof and a strong brand with the same quality promise for all areas. Nevertheless, it is always also about specific domain excellence. Only when you master all different areas and have profound and proven expertise in each of them you can succeed in integrated cross-domain projects. The respective business units craft their future strategies and innovation roadmaps with this in mind – as we do in the field of Video Systems & Solutions. Our business unit offers fully integrated Bosch video solutions that can be extended and operated on open systems. This is why we drive open platforms such as Inteox, to offer customers from a wide range of industries the right solutions. Our Bosch Integration Partner Program that we launched in 2012 is also heading in this direction – every product can be integrated into multiple other systems and VMS solutions. In summary: At Bosch, we are both a one-stop-shop, but also an open-system, meaning we offer customers maximum flexibility in their choice of products and services.
Bosch introduces the first cameras based on its Inteox open camera platform starting with the MIC inteox 7100i. The new MIC inteox cameras share the same distinctive characteristics as the rest of the MIC camera family, such as robust housing and high-quality imaging, and support predictive solutions with machine learning, neural network-based video analytics, and third-party software apps for customized applications. These Inteox cameras can be classified as ‘Driven by OSSA.’ This distinction signifies that the cameras follow the Open Security & Safety Alliance (OSSA) Technology Stack for video security devices, ensuring seamless connectivity with the Security & Safety Things (S&ST) application store. Developing software apps The cameras also allow for the easy creation of customized software apps that can be deployed on the Inteox cameras afterward. Market players can mix and match apps from the S&ST Application Store or develop software apps to create a novel solution. In addition, Bosch introduces two Inteox development kits containing either a bullet camera or mini-dome camera to complement MIC inteox cameras in pilot installations and support further app development. MIC inteox 7100i cameras support predictive solutions with built-in artificial intelligence (AI) MIC inteox 7100i cameras support predictive solutions with built-in artificial intelligence (AI). It includes Intelligent Video Analytics, Camera Trainer based on machine learning, and video analytics based on deep neural networks (DNN). These built-in AI capabilities enable Inteox cameras to understand what they see and add sense and structure to captured video data with metadata. Building predictive solutions This process is an important first step in converting video data into actionable insights and building predictive solutions, helping users anticipate unforeseen events and prevent them from happening. For example, in city surveillance applications, the MIC inteox 7100i cameras can detect abnormalities in behaviors, provide density data, and alert traffic operators with insights they can act on to prevent unwanted situations. By adding third-party software apps to Inteox cameras, integrators can easily customize security systems, enabling them to go beyond their basic functionality. In turn, app developers can leverage the camera's metadata, neural network-based video analytics, and machine learning to introduce innovative software to the market. The MIC inteox 7100i object classification (OC) models are made specifically for Intelligent Transportation Systems (ITS) applications. Powered by the edge computation capabilities of the Inteox platform, the introductory OC models present a novelty in the field of AI. Various traffic applications Possible disturbances caused by vehicle headlights or shadows are ignored They offer a Traffic Detector, an additional Video Analytics feature based on DNN that helps distinguish and classify automobiles in congested scenes with precise detail. Possible disturbances caused by vehicle headlights or shadows are ignored, uncovering new ways to improve mobility, safety, and efficient use of roadways. The actionable insights delivered by the cameras’ Traffic Detector help detect the presence and volume of vehicles to intelligently control traffic lights to keep traffic flowing when monitoring intersections. These insights can also enhance Automatic Incident Detection (AID) solutions to improve the safety of people and vehicles in tunnels and on highways. Future OC models planned for June 2021 will expand upon these DNN-based features offering greater granularity of data when generating actionable insights for various traffic applications. Optical image stabilization MIC inteox cameras range from a 4K enhanced model featuring optical image stabilization to a 1080p model in a base or enhanced version featuring Bosch’s starlight technology that can capture color images down to a level of 0.0069 lux as standard. The 4K model's optically-stabilized images maintain pin-sharp pictures even when the camera is subject to severe vibration, such as on bridges. With the optional illuminator, the 4K model covers a distance of 300m (984 ft.) The 1080p models feature 30x zoom and a frame rate of 60 frames per second. When light levels drop to zero, the optional illuminator ensures the greatest level of detail over a distance of up to 550m (1,804 ft.). Enhanced versions for both 4K and 1080p models also include an in-window defroster to improve visibility and onboard storage capabilities. Meeting marine requirements The MIC inteox 7100i features rugged housing with superior metallurgy and finish to protect against corrosion Combined with robust housing, the cameras provide the high-quality details required by applications such as city surveillance, traffic monitoring, and perimeter security. Like all MIC cameras, the MIC inteox 7100i features rugged housing with superior metallurgy and finish to protect against corrosion, including salt-water, to meet marine requirements. Engineered to endure nearly everything from high winds, rain, fog, and dust, MIC cameras can withstand 100% humidity, temperatures from -40°C to +65°C (-40°F to +149°F), extreme vibrations, and high impacts (IK10). Slow-Moving targets What’s more, a new drive train enables them to track slow-moving targets as smoothly as possible. The cameras are guaranteed never to lose their homing position, returning to a preset position over their entire lifetime, even when exposed to extreme vibration or brute force. Early adopters can take advantage of Bosch Inteox development kits to complement the MIC inteox 7100i cameras in pilot installations. The kits contain either a Bosch fixed bullet (Dinion) or mini-dome (Flexidome) outdoor camera that will run on the S&ST operating system. Both kits support the testing and development of an overall system solution based on apps already available through the application store and self-developed apps.
Bosch Building Technologies has installed an intrusion alarm system at the UNESCO World Heritage Site: the Mausoleum of Qin Shihuangdi in the city of Xi'an, China. Several hundred TriTech motion detectors are deployed to protect the 16,300-square-foot museum against theft and damage. These detectors prevent costly and time-consuming false alarms under challenging environmental conditions while providing detection reliability of real alarms. Because of the highly efficient intrusion detection system, the museum can dispense entirely with physical protective barriers such as glass walls, allowing visitors to directly experience their clay heroes. “The cooperation with Bosch is an excellent showcase of modern high-tech protection of historic buildings. Bosch intrusion alarm systems help to upgrade the security level of these unique historic sites,” says Ren Xuxin, Project Manager of Xi’an Terracotta Warriors and Horses Pit Security Upgrade Project. Intelligent alarms protect millennia-old warriors As wall detectors, the TriTech motion detectors protect the pits where the terracotta warriors are located. Because these pits collect large amounts of dust that could cause false alarms, the intelligent sensor data fusion algorithm in each of the rugged detectors checks potential alarms with a PIR sensor and microwave Doppler radar for a consistent result. The area to be protected is thereby also secured from above by ceiling-mounted TriTech motion detectors. These detectors are located 4.8 meters above the museum floor, yet operate accurately and reliably. They thus exceed the range of standard ceiling detectors by more than two meters. The TriTech motion detectors provide round-the-clock protection for the museum In the event of a security breach, the Bosch G-Series system controller sends an alert, including the location of the triggered detector, in less than two seconds to the security team in the control room, which uses live images from a video system to verify the alarm. Round-the-clock protection In most cases, tourists trigger an alarm when they cross a threshold to retrieve their cameras or smartphones that have accidentally fallen into the pit. In doing so, there is a risk of damage to the terracotta warriors, but even if real criminals should ever get into the act, the system is ready. The TriTech motion detectors provide round-the-clock protection for the museum. Due to their discreet design, the detectors are unobtrusive and thus do not interfere with the museum experience. In accordance with the museum operator's list of requirements, the intrusion detection system protects not only the museum, including the perimeter, as well as the visitor areas of the mausoleum but additionally the cultural treasures currently stored in the unmanned warehouse.
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