Dahua Technology Network / IP Cameras(199)
1/3 inch, Colour / Monochrome, 4 MP resolution, Digital (DSP), Network, 0.004 lux, Auto Iris, Direct Drive, 12 V DC, PoE, Motion Activated, 3.6 mm; 6 mm, Wall, Wide Dynamic Range, 2688 x 1520, 25 fps / 30 fps, Inclusion DVR/ Web Server, Back Light Compensation, Auto Gain Control, White Balance, 1/3 s ~ 1/100,000 s, > 56, PAL, NTSC, H.265; H.264; H.264B; MJPEG, RJ-45 (10/100 Base-T), HTTP; TCP; ARP; RTSP; RTP; UDP; RTCP; SMTP; FTP; DHCP; DNS; DDNS; PPPoE; IPv4/v6; QoS; UPnP; NTP; RTMP; Multicast; HTTPS; SFTP; 802.1x; ICMP; IGMP; Bonjour, < 10.2 W, 725, 194 x 96 x 90, IP67, -40 ~ +60 C (-40 ~ 140 F), IE; Chrome; Firefox, < 95, HDAdd to Compare
1/1.8 inch, Colour / Monochrome, 4 MP resolution, Digital (DSP), Network, 0.003 lux, Auto Iris, Direct Drive, 12 V DC, PoE, Motion Activated, 2.7 ~ 12, Pole, Wide Dynamic Range, 2688 x 1520, 25 fps / 30 fps, Inclusion DVR/ Web Server, Back Light Compensation, Auto Gain Control, White Balance, 1/3 s ~ 1/100,000 s, > 56, PAL, NTSC, H.265; H.264; H.264H; H.264B; MJPEG, RJ-45 (10/100 Base-T), IPv4; IPv6; HTTP; HTTPS; TCP; UDP; ARP; RTP; RTSP; RTCP; RTMP; SMTP; FTP; SFTP; DHCP; DNS; DDNS; QoS; UPnP; NTP; Multicast; ICMP; IGMP; NFS; SAMBA; PPPoE; 802.1x; SNMP, < 11.6 W, 340 x 109 x 93, 1,500, IP67, IK10, -40 ~ +60 C (-40 ~ 140 F), IE: IE8 and later; Chrome; Firefox; Safari: Safari 12 and later, < 95, HDAdd to Compare
Launched by Dahua Technology, Dahua WizMind is a full portfolio of solutions composed of project-oriented products including IPC, NVR, PTZ, XVR, Thermal and software platform which adopts industry-leading deep learning algorithms. Focusing on customer's requirements, WizMind provides precise, reliable and comprehensive AI solutions for verticals. Series Overview The Panoramic Network Camera + PTZ Camera can splice up to a 180° horizontal view to give you a wider view. Working with high-speed PTZ, the camera can display the details. With advanced video analysis algorithm, the camera supports linkage between panorama and details, and situation analysis. Functions Panoramic SplicingWith advanced splicing algorithm, Dahua Panoramic Splicing technology deletes overlapped area and splices multiple images to be a complete panorama. The field of view of the spliced image can be up to 180°, which largely improves surveillance efficiency and user experience. Generally, after splicing, the field of view of four-sensor camera can be 180°. Smart TrackingWith advanced algorithm, Dahua network camera can detect targets, track targets with speed dome, and view details. Crowd DensityWith deep learning algorithm, Dahua Crowd Density technology can detect the crowd density on the image, and display it on heat map; it can detect people quantity and density in selected area and set threshold. When the number or density is larger or smaller than the threshold, it triggers linkage. Vehicle DensityWith deep learning algorithm, Dahua Vehicle Density technology analyses the vehicle situation in the image, such as vehicle number in selected area. You can set threshold, and when the number is larger or smaller than the threshold, it triggers linkage. Perimeter ProtectionWith deep learning algorithm, Dahua Perimeter Protection technology can recognize human and vehicle accurately. In restricted area (such as pedestrian area and vehicle area), the false alarms of intelligent detection based on target type (such as tripwire and intrusion) are largely reduced. ROIDahua Regions Of Interest (ROI) technology allows you to select themonitoring area of interest to improve image effect in the selected area. AR Panorama Dahua AR panorama technology generates wide-field of view through panoramic merging and splicing. The software overlaps the cameras as tags in the image. Click the tag to display the corresponding cameravideo, which makes monitoring visual and convenient, and improves command efficiency. Cyber SecurityDahua network camera is equipped with a series of key security technologies, such as security authentication and authorization, access control, trusted protection, encrypted transmission, and encrypted storage, which improve its security defense and data protection, and prevent malicious programs from invading the device. With UL CAP Certification, TÜV Rheinland Protected Privacy IoT Product Certification, and ETSI EN 303645 Certification, Dahua network camera better meets the demands of cyber security and privacy protection.Add to Compare
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While the application of facial recognition within both public and private spheres continues to draw criticism from those who see it as a threat to civil rights, this technology has become extremely commonplace in the lives of iPhone users. It is so prevalent, in fact, that by 2024 it is predicted that 90% of smartphones will use biometric facial recognition hardware. CCTV surveillance cameras Similarly, CCTV is a well-established security measure that many of us are familiar with, whether through spotting images displayed on screens in shops, hotels and offices, or noticing cameras on the side of buildings. It is therefore necessary we ask the question of why, when facial recognition is integrated with security surveillance technology, does it become such a source of contention? It is not uncommon for concerns to be voiced against innovation. History has taught us that it is human nature to fear the unknown, especially if it seems that it may change life as we know it. Yet technology is an ever-changing, progressive part of the 21st century and it is important we start to shift the narrative away from privacy threats, to the force for good that LFR (Live Facial Recognition) represents. Live Facial Recognition (LFR) We understand the arguments from those that fear the ethics of AI and the data collection within facial recognition Across recent weeks, we have seen pleas from UK organizations to allow better police access to facial recognition technology in order to fight crime. In the US, there are reports that LAPD is the latest police force to be properly regulating its use of facial recognition to aid criminal investigations, which is certainly a step in the right direction. While it is understandable that society fears technology that they do not yet understand, this lack of knowledge is exactly why the narrative needs to shift. We understand the arguments from those that fear the ethics of AI and the data collection within facial recognition, we respect these anxieties. However, it is time to level the playing field of the facial recognition debate and communicate the plethora of benefits it offers society. Facial recognition technology - A force for good Facial recognition technology has already reached such a level of maturity and sophistication that there are huge opportunities for it to be leveraged as a force for good in real-world scenarios. As well as making society safer and more secure, I would go as far to say that LFR is able to save lives. One usage that could have a dramatic effect on reducing stress in people with mental conditions is the ability for facial recognition to identify those with Alzheimer’s. If an older individual is seemingly confused, lost or distressed, cameras could alert local medical centers or police stations of their identity, condition and where they need to go (a home address or a next of kin contact). Granted, this usage would be one that does incorporate a fair bit of personal data, although this information would only be gathered with consent from each individual. Vulnerable people could volunteer their personal data to local watchlists in order to ensure their safety when out in society, as well as to allow quicker resolutions of typically stressful situations. Tracking and finding missing persons Another possibility for real world positives to be drawn from facial recognition is to leverage the technology to help track or find missing persons, a lost child for instance. The most advanced forms of LFR in the market are now able to recognize individuals even if up to 50% of their face is covered and from challenging or oblique angles. Therefore, there is a significant opportunity not only to return people home safely, more quickly, but also reduce police hours spent on analyzing CCTV footage. Rapid scanning of images Facial recognition technology can rapidly scan images for a potential match Facial recognition technology can rapidly scan images for a potential match, as a more reliable and less time-consuming option than the human alternative. Freed-up officers could also then work more proactively on the ground, patrolling their local areas and increasing community safety and security twofold. It is important to understand that these facial recognition solutions should not be applied to every criminal case, and the technology must be used responsibly. However, these opportunities to use LFR as force for good are undeniable. Debunking the myths One of the central concerns around LFR is the breach of privacy that is associated with ‘watchlists’. There is a common misconception, however, that the data of every individual that passes a camera is processed and then stored. The reality is that watch lists are compiled with focus on known criminals, while the general public can continue life as normal. The very best facial recognition will effectively view a stream of blurred faces, until it detects one that it has been programmed to recognize. For example, an individual that has previously shoplifted from a local supermarket may have their biometric data stored, so when they return to that location the employees are alerted to a risk of further crimes being committed. Considering that the cost of crime prevention to retailers in recent years has been around £1 billion, which therefore impacts consumer prices and employee wages, security measures to tackle this issue are very much in the public interest. Most importantly, the average citizen has no need to fear being ‘followed’ by LFR cameras. If data is stored, it is for a maximum of 0.6 seconds before being deleted. Privacy Privacy is ingrained in facial recognition solutions, yet it seems the debate often ignores this side of the story Privacy is ingrained in facial recognition solutions, yet it seems the debate often ignores this side of the story. It is essential we spend more time and effort communicating exactly why watchlists are made, who they are made for and how they are being used, if we want to de-bunk myths and change the narrative. As science and technology professionals, heading up this exciting innovation, we must put transparency and accountability at the center of what we do. Tony Porter, former Surveillance Camera Commissioner and current CPO at Corsight AI, has previously worked on developing processes that audit and review watch lists. Such restrictions are imperative in order for AI and LFR to be used legally, as well as ethically and responsibly. Biometrics, mask detection and contactless payments Nevertheless, the risks do not outweigh the benefits. Facial recognition should and can be used for good in so many more ways than listed above, including biometric, contactless payments, detecting whether an individual is wearing a facemask and is therefore, safe to enter a building, identifying a domestic abuse perpetrator returning to the scene of a crime and alerting police. There are even opportunities for good that we have not thought of yet. It is therefore not only a waste not to use this technology where we can, prioritising making society a safer place, it is immoral to stand by and let crimes continue while we have effective, reliable mitigation solutions.
Urban populations are expanding rapidly around the globe, with an expected growth of 1.56 billion by 2040. As the number of people living and working in cities continues to grow, the ability to keep everyone safe is an increasing challenge. However, technology companies are developing products and solutions with these futuristic cities in mind, as the reality is closer than you may think. Solutions that can help to watch over public places and share data insights with city workers and officials are increasingly enabling smart cities to improve the experience and safety of the people who reside there. Rising scope of 5G, AI, IoT and the Cloud The main foundations that underpin smart cities are 5G, Artificial Intelligence (AI), and the Internet of Things (IoT) and the Cloud. Each is equally important, and together, these technologies enable city officials to gather and analyze more detailed insights than ever before. For public safety in particular, having IoT and cloud systems in place will be one of the biggest factors to improving the quality of life for citizens. Smart cities have come a long way in the last few decades, but to truly make a smart city safe, real-time situational awareness and cross-agency collaboration are key areas which must be developed as a priority. Innovative surveillance cameras with integrated IoT Public places need to be safe, whether that is an open park, shopping center, or the main roads through towns Public places need to be safe, whether that is an open park, shopping center, or the main roads through towns. From dangerous drivers to terrorist attacks, petty crime on the streets to high profile bank robberies, innovative surveillance cameras with integrated IoT and cloud technologies can go some way to helping respond quickly to, and in some cases even prevent, the most serious incidents. Many existing safety systems in cities rely on aging and in some places legacy technology, such as video surveillance cameras. Many of these also use on-premises systems rather than utilising the benefits of the cloud. Smart programming to deliver greater insights These issues, though not creating a major problem today, do make it more challenging for governments and councils to update their security. Changing every camera in a city is a huge undertaking, but in turn, doing so would enable all cameras to be connected to the cloud, and provide more detailed information which can be analyzed by smart programming to deliver greater insights. The physical technologies that are currently present in most urban areas lack the intelligent connectivity, interoperability and integration interfaces that smart cities need. Adopting digital technologies isn’t a luxury, but a necessity. Smart surveillance systems It enables teams to gather data from multiple sources throughout the city in real-time, and be alerted to incidents as soon as they occur. Increased connectivity and collaboration ensures that all teams that need to be aware of a situation are informed instantly. For example, a smart surveillance system can identify when a road accident has occurred. It can not only alert the nearest ambulance to attend the scene, but also the local police force to dispatch officers. An advanced system that can implement road diversions could also close roads around the incident immediately and divert traffic to other routes, keeping everyone moving and avoiding a build-up of vehicles. This is just one example: without digital systems, analyzing patterns of vehicle movements to address congestion issues could be compromised, as would the ability to build real-time crime maps and deploy data analytics which make predictive policing and more effective crowd management possible. Cloud-based technologies Cloud-based technologies provide the interoperability, scalability and automation Cloud-based technologies provide the interoperability, scalability and automation that is needed to overcome the limitations of traditional security systems. Using these, smart cities can develop a fully open systems architecture that delivers interoperation with both local and other remote open systems. The intelligence of cloud systems can not only continue to allow for greater insights as technology develops over time, but it can do so with minimal additional infrastructure investment. Smart surveillance in the real world Mexico City has a population of almost 9 million people, but if you include the whole metropolitan area, this number rises sharply to over 21 million in total, making it one of the largest cities on the planet. Seven years ago, the city first introduced its Safe City initiative, and ever since has been developing newer and smarter ways to keep its citizens safe. In particular, its cloud-based security initiative is making a huge impact. Over the past three years, Mexico City has installed 58,000 new video surveillance cameras throughout the city, in public spaces and on transport, all of which are connected to the City’s C5 (Command, Control, Computers, Communications and Citizen Contact) facility. Smart Cities operations The solution enables officers as well as the general public to upload videos via a mobile app to share information quickly, fixed, body-worn and vehicle cameras can also be integrated to provide exceptional insight into the city’s operations. The cloud-based platform can easily be upgraded to include the latest technology innovations such as license plate reading, behavioral analysis software, video analytics and facial recognition software, which will all continue to bring down crime rates and boost response times to incidents. The right cloud approach Making the shift to cloud-based systems enables smart cities to eliminate dependence on fiber-optic connectivity and take advantage of a variety of Internet and wireless connectivity options that can significantly reduce application and communication infrastructure costs. Smart cities need to be effective in years to come, not just in the present day, or else officials have missed one of the key aspects of a truly smart city. System designers must build technology foundations now that can be easily adapted in the future to support new infrastructure as it becomes available. Open system architecture An open system architecture will also be vital for smart cities to enhance their operations For example, this could include opting for a true cloud application that can support cloud-managed local devices and automate their management. An open system architecture will also be vital for smart cities to enhance their operations and deliver additional value-add services to citizens as greater capabilities become possible in the years to come. The advances today in cloud and IoT technologies are rapid, and city officials and authorities have more options now to develop their smart cities than ever before and crucially, to use these innovations to improve public safety. New safety features Though implementing these cloud-based systems now requires investment, as new safety features are designed, there will be lower costs and challenges associated with introducing these because the basic infrastructure will already exist. Whether that’s gunshot detection or enabling the sharing of video infrastructure and data across multiple agencies in real time, smart video surveillance on cloud-based systems can bring a wealth of the new opportunities.
Several major players vigorously employ biometric recognition technologies around the globe. Governments use biometrics to control immigration, security, and create national databases of biometric profiles. Being one of the most striking examples, the Indian Aadhaar includes face photos, iris, and fingerprints of about 1.2 billion people. Financial institutions, on their part, make use of biometrics to protect transactions by confirming a client's identity, as well as develop and provide services without clients visiting the office. Besides, biometric technology ensures security and optimizes passenger traffic at transport facilities and collects data about customers, and investigates theft and other incidents in retail stores. Widespread use of biometrics Business, which suddenly boosted the development of biometrics, is an active user of biometric technology Business, which suddenly boosted the development of biometrics, is another active user of biometric technology. Industries choose biometric systems, as these systems are impossible to trick in terms of security, access control, and data protection. Being in demand in business, these three tasks are also relevant for the industry. However, the use of biometrics at industrial sites is discussed unfairly seldom. Therefore, it is the face identification that is the most convenient there, as workers often use gloves, or their hands may be contaminated, and the palm pattern is distorted by heavy labor. All these features make it difficult to recognize people by fingerprints or veins and significantly reduce identification reliability. Therefore, industries seek facial recognition solutions. Thus, let us demonstrate the application of face recognition technology at different enterprises, regardless of the area. Facial recognition use in incident management Facial biometric products are known to automate and improve the efficiency of security services by enriching any VMS system. These systems provide an opportunity of instantly informing the operator about recognized or unrecognized people, and their list membership, as well as save all the detected images for further security incident investigation. Furthermore, some sophisticated facial biometric systems even provide an opportunity to build a map of the movements of specific people around a site. Besides, it is relevant not only for conducting investigations but also in countering the spread of the COVID-19 virus. Identifying and tracking COVID-19 positive cases Therefore, if an employee or visitor with a positive COVID-19 test enters a facility, the system will help to track his/her movement and identify his/her specific location. It will also help to take the necessary measures for spot sanitary processing. Thus, the introduction of biometric facial recognition at the industrial enterprise can improve and speed up the incidents’ response and investigations without spending hours watching the video archive. Access control system to secure physical assets The right access control system can help industries secure physical and informational assets The right access control system can help industries secure physical and informational assets, cut personnel costs, and keep employees safe. Facial recognition systems may enrich access control systems of any company by providing more security. As biometric characteristics, by which the system assesses the compliance of a person with the available profiles in the database, cannot be faked or passed. The human factor is also reduced to zero, due to the fact that while identity documents can be changed, the inspector can make a mistake or treat his/her task carelessly, be in collusion with an intruder, the biometric system simply compares a person in front of the camera with the biometric profiles database. Biometric facial identification software For example, RecFaces product Id-Gate, a specialized software product for reliable access control to the site, checks the access rights by using biometric facial identification alone or in conjunction with traditional IDs (electronic passes, access keys, etc.), which means that there is almost a zero probability of passing to the site by someone else's ID. The access control system’s functionality allows one to strictly account the number and time of all the facility’s visitors and also track their movement. When unauthorized access is attempted or a person from the stop list is detected, Id-Gate sends an automatic notification to the access control system and operator. Enhanced data and information security Even despite the division of access to different industrial enterprise areas, the security service needs to provide independent information system security. Employees with the same facility access rights may have different access rights to data. However, in that case, a personal password is not enough, as an employee may forget it, write it down and leave it as a reminder, tell a colleague to do something for him/her during the vacation, or just enter it at another person’s presence. Password-free biometric authentication systems make the procedure user-friendly and secure Password-free biometric authentication Password-free biometric authentication systems make the procedure user-friendly and secure. Such systems usually provide an option of two-step verification when successful password entry is additionally confirmed by biometric recognition. Hence, it is particularly relevant due to the current lockdown in many countries. To sum up, the application of biometric technologies solves several issues of the industry, such as: Optimizes and partially automates the work of the security service, as it provides reliable identification and verification of visitors/employees, reduces the amount of time spent on finding a person on video and making a map of his/her movements, without spending hours on watching video archive in case of investigation. Provides a high level of reliability and protection from unauthorized access to the enterprise and the information system. Provides a two-step verification of the user/visitor (including password and biometric data) and almost eliminates the risk of substitution of user data/ID.
Dahua Technology, a renowned, video-centric provider of smart IoT solutions, announced a major rebranding to reflect the company’s growth and evolution within the North American video surveillance market. WizSense (pronounced “Wise Sense”), Simplified Analytics for Accurate Results, and WizMind (pronounced “Wise Mind”), Advanced Analytics for Ultimate Performance, will be sub-categories under Dahua’s Analytics+ umbrella. Each line encompasses existing product lines as well as new product offerings. “With this launch, we are unifying our products under two new product categories, WizSense and WizMind, to align with new and existing customer’s needs in finding solutions faster,” remarked Jennifer Hackenburg, Senior Product Marketing Manager of Dahua Technology USA. Video surveillance solutions The rebranding includes a top-to-bottom implementation of the WizSense and WizMind product lines. Changes will be reflected throughout the company’s website including the product search tool filter, datasheets, product boxes and communications. Dahua’s new brand assets include a full quick guide highlighting all products from each segment, a new website landing page and other visual communications to convey Dahua solutions in an understandable way. WizSense, the more foundational of the two categories, offers simplified analytics for accurate results The recategorization is designed to help security dealers and integrators more easily identify which video surveillance solutions are better suited for small installations versus advanced enterprise applications. WizSense, the more foundational of the two categories, offers simplified analytics for accurate results. Smart motion detection Basic enough to meet the needs of most users, WizSense products have an AI chip that delivers features like smart motion detection, perimeter protection, and active alarm for protecting what matters most. Other analytics allow for instant alerts, quick target searches after an event, and maximized storage with Dahua’s Smart H.264/H.265+ codecs. The WizSense portfolio includes 4MP and 5MP bullet, dome, wedge and eyeball cameras that were formerly part of Dahua’s Lite series and that offer Starlight Technology, True WDR, Smart IR illumination and IP67 housing. Also in the WizSense family are 2MP and 4MP PTZs formerly from Dahua’s Pro series, as well as new cost-effective thermal cameras. Compatible with the WizSense collection are NVR and Penta-brid recorders with 2TB, 4TB, 6TB, and 8TB options. Human temperature monitoring WizMind offers advanced analytics for ultimate performance. This high-end analytics line - with a powerful AI chip and renowned deep learning algorithms - gives users privacy protection, video metadata, highly accurate people counting, heat mapping, smart tracking and non-contact human temperature monitoring . WizMind is designed to meet the requirements of high-end vertical markets with in-depth demands, such as finance, retail, stadiums, energy, refineries, and transportation. WizMind cameras consist of formerly-Pro-series 4MP bullet and eyeball cameras, 4MP and 5MP dome cameras, and cameras built for specialized applications, such as 5MP and 12MP Fisheye cameras, multi-sensors, thermal cameras and PTZs. Compatible NVR and Penta-brid recorders come in 4TB, 8TB, and 10TB models. Thermal temperature monitoring solutions These solutions should not be solely used to diagnose or exclude a diagnosis of COVID-19 or any other disease “WizSense and WizMind technologies both take security further by providing advanced analytics that provide deeper insights, increased accuracy, and time saving alerts,” said Hackenburg. “By offering this new streamlined branding, it is easier than ever for dealers to find the line of technology that will include the level of analytics needed for their installation.” Dahua’s thermal solutions, including the SafetyTemp Thermal Temperature Station, the Thermal Temperature Monitoring Solution, and the Handheld Thermal Temperature Monitoring Device, are not FDA-cleared or approved. These solutions should not be solely or primarily used to diagnose or exclude a diagnosis of COVID-19 or any other disease. Telethermographic temperature measurement Elevated body temperature in the context of use should be confirmed with secondary evaluation methods (e.g., an NCIT or clinical grade contact thermometer). Public health officials, through their experience with the solutions in the particular environment of use, should determine the significance of any fever or elevated temperature based on the skin telethermographic temperature measurement. The solutions should be used to measure only one subject’s temperature at a time. Visible thermal patterns are only intended for locating the points from which to extract the thermal measurement.
The COVID-19 global pandemic continues, and more and more companies are looking for ways to continue (or resume) operations while minimizing the coronavirus’s negative impact on their workforce, or potentially contributing to disease spread among the wider population. Thermal cameras have been proposed as a solution to screen individuals for elevated body temperature since the beginning of the pandemic. However, the technology has its detractors, and there are regulatory questions. We asked this week’s Expert Panel Roundtable: How can thermal cameras be used effectively for fever detection to screen for infectious diseases?
Dahua Technology, a video-centric, provider of smart IoT solutions, offers a wealth of low-light technology for surveillance in dark or nighttime environments. The latest addition to their wide-ranging line of security cameras for the Dahua USA market is White-light LED Night Color technology. Dahua Technology USA boasts several different low-light camera models to meet a variety of needs in environments with very low ambient light. Each camera incorporates an ultra-Starlight image sensor, which has a set of optical features to balance light throughout the scene and improve the clarity of the image. Low-light cameras also utilize Smart Image Signal Processing (ISP). Extracting useful information “Smart ISP converts an image into digital form while performing operations that enhance the image and extract useful information. It lets the camera identify and correct imperfections caused by the lens, color filter, or sensor,” explained Jennifer Hackenburg, senior product marketing manager at Dahua Technology USA. Dahua’s flagship low-light standard, Starlight technology, employs large apertures (maximum f/1.6), in addition to the sensors and Smart ISP described above, to balance light throughout the scene. Together, these technologies let Starlight cameras produce richly colored, identification-level images without distortion in illumination of 0.004 to 0.009 lux. Starlight cameras have infrared (IR) cut filters that switch to black and white mode when the camera senses that insufficient light is available to reproduce good color images. When night mode is triggered, the filter disengages, allowing IR as well as visible illumination to reach the image sensor. Achromatic large aperture lens Night Color does not require a True Day Night IR cut filter; instead it uses a high-performance sensor and ISP The latest advancement in light sensitivity is Night Color technology. Night Color cameras use high-performance image sensors that generate exceptional color images long after an IR camera would have converted to a black and white image. Night Color does not require a True Day Night IR cut filter; instead it uses a high-performance sensor and ISP, as well as an achromatic large aperture lens, to produce crisp, clear images. This light-sensitive technology allows the camera to capture more available light, creating full-color images with high detail and contrast. Night Color requires at least 1 lux of ambient or artificial light. When a visual deterrent to crime is imperative, white-light LEDs (Light Emitting Diodes), are built into Dahua’s new 4MP ePoE Night Color Network Dome Camera (N45EJ62). Real-Time perimeter protection Smart illumination, where the camera automatically activates the LEDs at low lux levels, adjusts exposure time and LED intensity to avoid overexposing the image. The camera performs Dahua’s Analytics+ functions at the edge for complex, real-time perimeter protection surveillance, Smart Motion Detection, and face detection. Enhanced Power over Ethernet (ePoE) extends transmission distances up to eight times over CAT5/CAT6 cables and converts existing, coax‐based analog systems into IP systems. “Our broad portfolio of low-light cameras gives installers and end-users a variety of options to choose from, based on their individual needs,” commented Hackenburg. “Whether low lux capabilities are most important, or you need advanced technology that enables full color images in near-complete darkness, Dahua helps security operators see more.”
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