Dome cameras - Expert commentary

Face Recognition: Privacy Concerns and Social Benefits
Face Recognition: Privacy Concerns and Social Benefits

News reports and opinion columns about face recognition are appearing everyday. To some of us, the term sounds overly intrusive. It even makes people shrink back into their seats or shake their head in disgust, picturing a present-day dystopia. Yet to others, face recognition presents technology-enabled realistic opportunities to fight, and win, the battle against crime. What are the facts about face recognition? Which side is right? Well, there is no definitive answer because, as with all powerful tools, it all depends on who uses it. Face recognition can, in fact, be used in an immoral or controversial manner. But, it can also be immensely beneficial in providing a safe and secure atmosphere for those in its presence.  Concerns of facial recognition With the increased facial recognition applications, people’s concerns over the technology continuously appear throughout news channels and social media. Some of the concerns include: Privacy: Alex Perry of Mashable sums up his and most other peoples’ privacy concerns with face recognition technology when he wrote, “The first and most obvious reason why people are unhappy about facial recognition is that it's unpleasant by nature. Increasing government surveillance has been a hot-button issue for many, many years, and tech like Amazon's Rekognition software is only making the dystopian future feel even more real”. Accuracy: People are worried about the possibilities of inaccurate face detection, which could result in wrongful identification or criminalization. Awareness: Face recognition software allows the user to upload a picture of anyone, regardless of whether that person knows of it. An article posted on The Conversation states, “There is a lack of detailed and specific information as to how facial recognition is actually used. This means that we are not given the opportunity to consent to the recording, analyzing and storing of our images in databases. By denying us the opportunity to consent, we are denied choice and control over the use of our own images” Debunking concerns  The concerns with privacy, accuracy, and awareness are all legitimate and valid concerns. However, let us look at the facts and examine the reasons why face recognition, like any other technology, can be responsibly used: Privacy concerns: Unlike the fictional dystopian future where every action, even in one’s own home, is monitored by a centralized authority, the reality is that face recognition technology only helps the security guard monitoring public locations where security cameras are installed. There is fundamentally no difference between a human security guard at the door and an AI-based software in terms of recognizing people on watchlist and not recognizing those who are not. The only difference is that the AI-based face recognition software can do so at a higher speed and without fatigue. Face recognition software only recognizes faces that the user has put in the system, which is not every person on the planet, nor could it ever be. Accuracy concerns: It is true that first-generation face recognition systems have a large margin for error according to studies in 2014. However, as of 2020, the best face recognition systems are now around 99.8% accurate. New AI models are continuously being trained with larger, more relevant, more diverse and less biased datasets. The error margin found in face recognition software today is comparable to that of a person, and it will continue to decrease as we better understand the limitations, train increasingly better AI and deploy AI in more suitable settings. Awareness concerns: While not entirely comforting, the fact is that we are often being watched one way or another on a security camera. Informa showed that in 2014, 245 million cameras were active worldwide, this number jumped to 656 million in 2018 and is projected to nearly double in 2021. Security camera systems, like security guards, are local business and government’s precaution measures to minimize incidents such as shoplifting, car thefts, vandalism and violence. In other words, visitors to locations with security systems have tacitly agreed to the monitoring in exchange for using the service provided by those locations in safety, and visitors are indeed aware of the existence of security cameras. Face recognition software is only another layer of security, and anyone who is not a security threat is unlikely to be registered in the system without explicit consent. The benefits In August 2019, the NYPD used face recognition software to catch a rapist within 24 hours after the incident occurred. In April 2019, the Sichuan Provincial Public Security Department in China, found a 13-year-old girl using face recognition technology. The girl had gone missing in 2009, persuading many people that she would never be found again. Face recognition presents technology-enabled realistic opportunities to fight, and win, the battle against crimeIn the UK, the face recognition system helps Welsh police forces with the detection and prevention of crime. "For police it can help facilitate the identification process and it can reduce it to minutes and seconds," says Alexeis Garcia-Perez, a researcher on cybersecurity management at Coventry University. "They can identify someone in a short amount of time and in doing that they can minimize false arrests and other issues that the public will not see in a very positive way". In fact, nearly 60% Americans polled in 2019 accept the use of face recognition by law enforcement to enhance public safety. Forbes magazine states that “When people know they are being watched, they are less likely to commit crimes so the possibility of facial recognition technology being used could deter crime”. Saving time  One thing that all AI functions have been proven to achieve better results than manual security is speed. NBC News writes, “Nearly instantaneously, the program gives a list of potential matches loaded with information that can help him confirm the identity of the people he’s stopped - and whether they have any outstanding warrants. Previously, he’d have to let the person go or bring them in to be fingerprinted”. Facial recognition can also be immensely beneficial in providing a safe and secure atmosphere for those in its presence With AI, instead of spending hours or days to sift through terabytes of video data, the security staff can locate a suspect within seconds. This time-saving benefit is essential to the overall security of any institution, for, in most security threat situations, time is of the utmost importance. Another way in which the technology saves time is its ability to enable employees (but not visitors) to open doors to their office in real-time with no badge, alleviating the bottleneck of forgotten badge, keycode or password. Saving money A truly high-performance AI software helps save money in many ways. First, if the face recognition software works with your pre-existing camera system, there is no need to replace cameras, hence saving cost on infrastructure. Second, AI alleviates much of the required manual security monitoring 24/7, as the technology will detect people of interest and automatically and timely alert the authorities. Third, by enhancing access authentication, employees save time and can maximize productivity in more important processes. The takeaway AI-enabled face recognition technology has a lot of benefits if used correctly. Can it be abused? Yes, like all tools that mankind has made from antiquity. Should it be deployed? The evidence indicates that the many benefits of this complex feature outweigh the small chance for abuse of power. It is not only a step in the right direction for the security industry but also for the overall impact on daily lives. It helps to make the world a safer place. 

How Intelligent Video Surveillance Supports Smart Mobility
How Intelligent Video Surveillance Supports Smart Mobility

The ease of getting from point A to point B, the effective movement of goods and services, and the flexibility and integration of various modes of transportation are key aspects of mobility today. Smart Mobility has been a key theme in the transportation industry for a while. The idea is to keep traffic flowing and help people to get where they need to be, in a smarter way. To this end, industry players are now innovating and introducing advanced technologies and solutions. Examples include intelligent traffic management systems, free-flow tolls, autonomous driving, smart location solutions, and more. At the same time, traffic congestion, aging infrastructure, rapid urbanization, and increasing sustainability demands are also intensifying the need for smart mobility solutions. One way to overcome these obstacles is to use intelligent video surveillance technology for improved traffic management, making the roads safer and more efficient for every user, while also reducing emissions. Perceptive intersections Relying on intelligent video analytics, traffic video cameras identify traffic build ups at intersections by counting numbers of vehicles crossing an intersection and detecting their speed, while also counting the number of vehicles queueing in real-time. Aggregated data informs the system when to switch traffic lights to red or green. Intelligent optimization for traffic signals ensures more effective traffic flow.Aggregated data informs the system when to switch traffic lights to red or green The benefits? Improved safety on the roadways; intersection reconstruction can be avoided; drivers can be advised about the speed of their route, forecasted by traffic signals; reduced wait times and stress for commuters; reduction of harmful emissions; and positive impact on public satisfaction. Road safety Traffic incidents can be disastrous, not merely for causing congestion on the roads but sometimes far worse – resulting in injuries and even fatalities. These incidents have many causes, not the least of which is drivers willfully violating traffic laws. Video technology can aid in detecting all kinds of events – for example, illegal parking, running a red light, wrong-way driving, speeding, and making illegal U-turns can all be detected by smart camera technology. By using deep learning technology, cameras can recognize these events and traffic authorities can be immediately notified and take necessary actions even before traffic incidents occur. Scenarios include stopping a driver who is occupying an emergency lane, or notifying a driver who parked their car illegally. Furthermore, ticketing systems can be incorporated to further regulate driving behaviors. Benefits here include incident prevention, better driver performance, and increased safety on the roads and streets, to name just a few. Scenarios include stopping a driver who is occupying an emergency lane, or notifying a driver who parked their car illegally Public information Sharing information is key to keeping city drivers and travelers informed. Intelligent communication about warnings and updates helps everyone save time, avoid frustration, and simplify everyday mobility. This can be done via traffic guidance screens displayed at highly visible locationsThis can be done via traffic guidance screens displayed at highly visible locations, such as congested areas, transportation hubs, shopping malls, and city plazas – or even at your fingertips on your favorite mobile apps! Traffic video cameras generate real-time data of traffic flow and incidents, sending it to a central platform to further fuse with data from third-party systems such as radar and GPS systems. They also disseminate traffic information, including traffic status, warning and advisory notices, as well as parking status.  The benefits are improved public awareness of traffic information, improved travel convenience, overall enhancement of mobility in the city, and more. The Hikvision practice Hikvision has accumulated sophisticated experience in traffic management both at home and abroad. Product lines offer versatile solutions to resolve multitudes of problems in urban traffic management, traffic incident management, highway management, and more. Going deeper, it’s essential to note that efficient signal control management is dependent on the quality of traffic data, system algorithms, and the hardware devices in use; it is also closely related to the mobile environment, such as road conditions, historical traffic conditions, and urban infrastructure. Because of this, no single solution solves traffic congestion everywhere. Hikvision believes that only by working closely with city authorities, public safety organizations, consultants, even academia and other relevant stakeholders, can applications and operational processes be developed to achieve the best possible outcomes. The possibilities for traffic video data are endless, especially now that it can employ artificial intelligence for advanced functionality. Harnessing its power will make all the difference, but the ultimate goal remains the same: safe and smooth traffic, smart mobility, and improved quality of human life.

5 Key Ways To Ensure End-to-end Perimeter Protection
5 Key Ways To Ensure End-to-end Perimeter Protection

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.

Latest Dahua Technology USA Inc. news

Dahua Technology Unveils SafetyTemp Thermal Temperature Monitoring System For Enterprises And Schools
Dahua Technology Unveils SafetyTemp Thermal Temperature Monitoring System For Enterprises And Schools

Dahua Technology, a globally renowned video-centric provider of smart IoT solutions, has announced the launch of SafetyTemp (DHI-ASI7213X-T1), a thermal temperature monitoring station. This easy-to-deploy solution quickly measures skin temperature without the need for personal contact and provides an accurate temperature reading to help businesses and schools assess employees, customers, students and other visitors for elevated body temperature. SafetyTemp thermal temperature monitoring station Developed in response to the COVID-19 pandemic, the SafetyTemp system features a simple, portable setup that consists of a seven-inch screen and a camera with dual, 2MP, CMOS sensors. Different installation options, such as floor and desktop mounts, make SafetyTemp a versatile solution for shops, restaurants, schools, and factories that need an efficient method to assess temperatures of employees, customers, students and other visitors. This contact-free solution for monitoring temperatures uses thermal imaging technology to reduce the risk of viral transmission and deliver peace of mind. Thermal imaging technology Thermal imaging technology allows for swift, accurate, temperature readings without personal contact" “Thermal imaging technology allows for swift, accurate, temperature readings without personal contact,” remarked Damon Chou, Product Solutions Manager at Dahua Technology USA, adding “SafetyTemp offers this technology in a compact, user-friendly station that helps businesses reopen more safely and schools better monitor their student populations during the pandemic.” A subject must simply look at the camera for the system to get a temperature reading. The system will almost instantly (within 0.2 seconds) indicate whether a temperature is elevated above an operator-defined threshold. A visual display on the screen, as well as an audio alert, will let the operator know immediately when an elevated temperature has been detected. Integrated with WDR camera An additional setting will alert the operator if the system detects that a subject is not wearing a mask. The Wide Dynamic Range (WDR) camera is well-suited for high-contrast lighting environments, such as building entrances, and its infrared sensor can detect temperatures within a ±0.9°F (±0.5°C) range of accuracy from a distance of one to six feet (0.3 to 1.8 meters). “SafetyTemp’s ability to quickly scan people as they pass through an area reduces long lines and wait times for business owners and administrators who want to safeguard the health of their employees, customers or students,” Chou continued, adding “Dahua aims to support the reopening of schools and commerce with this simple yet powerful solution.”

Salient Systems Equip Constellation Cannabis With The Right Solution To Meet The Stringent Regulatory Demands Of Its Industry
Salient Systems Equip Constellation Cannabis With The Right Solution To Meet The Stringent Regulatory Demands Of Its Industry

Jeff Hubbard is the owner of Constellation Cannabis, one of the largest cannabis grow facilities in Washington state. The Arlington facility is 42,000 square feet, of which 30,000 square feet is grow space. Because of the heavily regulated nature of the industry, the company would have to meet strict requirements before it began production and that meant developing a camera design with 100 cameras that would exceed regulatory requirements. In a new industry with strict regulatory requirements, the video surveillance system is everything but ordinary. First, it had to be a modular system to allow the company to scale it through the multi-phase project. Also, it had to take into account the unique nature of the project. Before Constellation could even begin growing cannabis, it had to have a license for the property, then develop an operating plan- essentially an operational blueprint of the building for the Liquor Control Board (LCB). Captured on camera From seed to sale, everything that would occur must be captured on camera at all times The plan clearly delineates where in the building seeds would be stored, where vegetative growth would take place, where the flower room and waste quarantine would be, and where concentrates production and processing would take place. From seed to sale, everything that would occur must be captured on camera at all times, and every recorded interaction of an employee with a plant must include visibility of the employee's head, hands, and feet at all times- and the footage must be maintained for at least 45 days. Even plant waste and dead plants must be on camera at all times. “If we have a plant that dies, we can't just take that plant and throw it in the compost pile; the plant is tagged, so we scan the plant, we notify the LCB that the plant has died, and we remove the plant from our gardens,"  Hubbard said. Video surveillance system "But it needs to sit in our quarantine space for 72 hours because that gives the LCB three days to come out to our farm and do a spot check inspection if they are so inclined and say, 'Yep, you had one plant die- here it is.' And then we could go into the camera system, and we need to maintain footage of all our plants for 45 days." Until all of this and more could be demonstrated to the LCB, Constellation could not grow a single plant, and therefore could not generate revenue. Clearly, the last thing they needed was for the video surveillance system to hold the process up. In phase one of the project, Constellation was using about a 50/50 mix of Dahua and other cameras. Features and capabilities It is often difficult for company owners to know who has the skill set necessary to follow through with meeting They originally contracted for 80 cameras, but, due to some blind spots and some expansion during the initial phase, Hubbard says, they needed to upgrade to 100 and a partner to help them scale. Hubbard met with Blake Albertsen, Regional Sales Manager - Pacific Northwest/Western Canada, Salient Systems, who walked those at Constellation through the features and capabilities of the Salient system. In an industry as new as the cannabis industry, it is often difficult for company owners to know who has the skill set necessary to deliver and follow through with meeting their unique needs. However, after meeting with Albertsen, Hubbard knew he had found the right partner. Modular system "Based on the strength of that presentation and of Blake himself as a person," Hubbard said. "We felt comfortable in engaging in a contract with Salient.” With the Salient server, they were able to seamlessly upgrade, get licenses in place and meet their phase one footprint. Unfortunately, however, because of the size and scope of the project, the need for a modular system and the burdensome regulations, the integrator Constellation had initially been working with was unable to meet its needs, and so Constellation now found itself in search of a new integrator. Hubbard said he called Albertsen and expressed his frustration of having a capable Salient system but being unable to use it. Although Salient was not obligated to, Albertsen agreed to help Constellation find an integrator suited for the task. Camera inspections There is a steep learning curve, and that is why we decided to go with professionals" "It was a very stressful time in the business," Hubbard said. "I am eternally grateful for the help in finding us a new integrator, lending us engineering time to get our system operational and get us past our camera inspections to allow us to activate our cannabis license." And so, what had begun to look like a disaster was now back on track and humming along smoothly. Hubbard said Constellation plans to continue its relationship through the second and third phase of building out the facility. "Cannabis is a new industry, and a lot of people are trying to make a quick buck," Hubbard said. "There is a steep learning curve, and that is why we decided to go with professionals." Clean Green Certified Part of what makes Salient so successful is its commitment to being "Clean Green Certified”. Because the USDA does not recognize cannabis as a legitimate agricultural crop, cannabis cannot be legally called “organic.” Therefore, the Clean Green cannabis processor/ handler certification was established in 2004 as a way to regulate legal cannabis products that would otherwise have called their products organic. Indeed, 40 percent of the cannabis licenses in Washington are inactive, Hubbard explains, because many people don't realize the regulatory burden placed on the industry and the capital costs required to navigate those burdens.

Dahua Technologies Launches AI-powered WizMind Portfolio
Dahua Technologies Launches AI-powered WizMind Portfolio

Dahua Technology, with its award winning deep learning algorithms, proudly releases WizMind – a portfolio of solutions composed of project-oriented products including IPC, NVR, PTZ, XVR, thermal and software platforms, delivering precise, reliable and comprehensive AI solutions to verticals including government, retail, energy, finance and transportation. WizMind's human-oriented solutions Powered by AI and deep learning algorithms, WizMind provides comprehensive human-oriented solutions including facial recognition, privacy protection, human video metadata, people counting and stereo analysis, enabling rapid and precise reaction. In addition, it provides more precise and effective AI search to locate targets, generating various human data for business analysis. According to IHS, the total market value of professional video surveillance equipment will grow to $27.2 million by 2023 To protect portrait data, WizMind provides outstanding privacy protection. Based on deep learning algorithms, WizMind supports real-time mosaic masking of the human face or body detected in the monitoring area, which is needed in courtroom scenarios and may be valuable to retailers which can optimize their business through intelligent analysis of customer flow, recorded without violating privacy or GDPR. WizMind based on vehicles WizMind boasts multiple vehicle-based AI solutions, such as ANPR and vehicle metadata, illegal parking which provide more attributes of vehicles for easy control, quick search and business analysis. It is widely used in urban areas, residential community entrances, parking lots and toll stations. By extracting and comparing plate numbers with databases, ANPR helps managers of parking lots and city roads improve vehicle management efficiency with functions like Blacklist Alarm and VIP Recognition. ANPR also supports vehicle tracking, which helps police efficiently locate vehicles according to the crosschecking result. ANPR is able to recognize plate numbers in over 58 countries. WizMind with thermal technology WizMind combines deep learning algorithms with thermal imaging technology to help users achieve ultra-long-distance monitoring in harsh environments, non-contact temperature monitoring and early fire prevention. The Dahua WizMind series is compatible with mainstream third party technology partners With an accuracy of 0.3 degrees Celcius and a speed that monitors three people per second, Dahua’s High Accuracy Body Temperature Monitoring Solution has been widely and successfully applied within transportation hubs, financial institutions, commercial complexes, schools and other places all over the world, joining the global efforts in pandemic prevention and control. WizMind Ecosystem Initiating openness and collaboration, the Dahua WizMind series is compatible with mainstream third party technology partners, such as Milestone, AxxonSoft, ISS and others. Furthermore, WizMind Ecosystem provides the DHOP and sufficient API for our technology partners, enabling them to combine real AI joint solutions to our common customers, and a series of marketing activities will be engaged with our ecosystem partners. Dahua WizMind, a high-end AI series, aims to serve demanding scenarios in many vertical industries. With the mission of “enabling a safer society and smarter living”, Dahua Technology will continue to focus on “innovation, quality and service” to serve its partners and customers around the world.