Ambarella, Inc., an artificial intelligence (AI) vision silicon company, announced that Ambarella and Amazon Web Services, Inc. (AWS) customers can now use Amazon SageMaker Neo to train machine learning (ML) models once and run them on any device equipped with an Ambarella CVflow-powered AI vision system on chip (SoC). Until now, developers had to manually optimise ML models for devices based on Ambarella AI vision SoCs. This step could add considerable delays and errors to the application development process. Ambarella and AWS collaborated to simplify the process by integrating the Ambarella toolchain with the Amazon SageMaker Neo cloud service. Now, developers can simply bring their trained models to Amazon SageMaker Neo and automatically optimise the model for Ambarella CVflow-powered SoCs. Neural network accelerator Customers can download the compiled model and deploy it to their fleet of Ambarella-equipped devices Customers can build an ML model using MXNet, TensorFlow, PyTorch, or XGBoost and train the model using Amazon SageMaker in the cloud or on their local machine. Then, they can upload the model to their AWS account and use Amazon SageMaker Neo to optimise the model for Ambarella SoCs. They can choose CV25, CV22, or CV2 as the compilation target. Amazon SageMaker Neo compiles the trained model into an executable that is optimised for Ambarella’s CVflow neural network accelerator. The compiler applies a series of optimisation that can make the model run up to 2x faster on the Ambarella SoC. Customers can download the compiled model and deploy it to their fleet of Ambarella-equipped devices. Enterprise video security The optimised model runs in the Amazon SageMaker Neo runtime purpose-built for Ambarella SoCs and available for the Ambarella SDK.The Amazon SageMaker Neo runtime occupies less than 10x the disk and memory footprint of TensorFlow, MXNet, or PyTorch, making it much more efficient to deploy ML models on connected cameras. “Ambarella is in mass production today with CVflow AI vision processors for the home monitoring, enterprise video security, and automotive markets,” said Chris Day, vice president of marketing and business development for Ambarella. "The ability to select an Ambarella SoC and compile a trained ML model with a single click is a powerful tool that makes it possible for our customers to rapidly bring the next generation of AI-enabled products to market.” Advanced security features AWS has the deepest set of ML and AI services focused on solving some of the toughest challenges facing developers" Manufactured using an advanced 10-nanometer process, Ambarella’s CVflow SoC family enables the design of compact, high-performance vision systems with ultra-low power operation. For example, the Ambarella CV22 CVflow SoC delivers computer vision processing at full 4K or 8-megapixel resolution at 30 frames per second (fps), while its image signal processor (ISP) provides outstanding imaging in low- light conditions and high-contrast scenes, further enhancing the computer vision capabilities of the chip. The CV22 also includes a suite of advanced security features to protect against hacking including secure boot, TrustZone, I/O virtualisation, and support for online upgrades over the air (OTA). Machine learning models “AWS has the broadest and deepest set of ML and AI services focused on solving some of the toughest challenges facing developers. Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly,” said Bratin Saha, Vice President, Machine Learning & Engines, Amazon Web Services, Inc. “We’re excited that VIVOTEK is using SageMaker Neo to simplify the deployment of ML models at the edge on Ambarella CVflow-powered IP cameras.”
Vaion, just a few months out of stealth mode, today announces its launch into the North American market with comprehensive demonstrations at GSX 2019. Vaion will exhibit in booth #1819 with a rapidly expanding commercial team ready to provide custom demos. Visitors will examine real-world scenarios which showcase how machine learning delivers operator efficiency, provides a rich understanding of surroundings, and offers new operational benefits for improved ROI. Embedded machine learning Vaion quickly deployed Proof of Concepts (PoCs) across a range of verticals with immediate results Vaion seeks to answer a single question: what if companies could detect threats at their earliest stages, mitigating risk instead of merely responding to security threats when they occur? It’s the basis behind Vaion’s innovative end-to-end security system, which brings together video, hardware, and software with embedded machine learning for proactive, rather than reactive, security operations. Highlighting early customer and partner demands for new experiences, Vaion quickly deployed Proof of Concepts (PoCs) across a range of verticals with immediate results. Commercial building operators are taking advantage of intelligent maps with Vaion’s Smart Presence™. The operational insights are providing the opportunity for enhanced workplace productivity and energy management based on occupancy awareness. K-12 administrators are finding Vaion’s real-time anomaly detection to be vital for complete school security. Vaion’s real-time detection gives schools the opportunity to take immediate action in stopping imminent threats from escalating. Healthcare facility operators are using interactive maps powered by Smart Presence™ to safely monitor patients, visitors, and employees. Vaion’s Smart Search™ allows operators to quickly identify a situation and person of interest. Retailers are benefiting from the granular awareness of the people present in their store. Heat mapping customer behaviour provides multi-layered solutions beyond strengthening security, and understanding customer activity helps improve the customer experience and increase sales. Enabling surveillance solutions Vaion’s active PoC engagements are an essential step in the company’s continued growth, with real, on-the-ground opportunities to test these advanced solutions and guarantee that Vaion products deliver on what they promise. Ambarella, a chipset manufacturer specialising in intelligent security applications, can attest to the viability of Vaion’s PoC solutions. Machine learning and integrated analytics are set to transform conventional video surveillance systems" Vaion uses Ambarella’s SoC for its ability to deliver powerful deep neural network processing, image processing, and video encoding. “Machine learning and integrated analytics are set to transform conventional video surveillance systems. Vaion’s advanced neural network-based algorithms running on Ambarella’s CVflow AI processors enable surveillance solutions that detect threats in their earliest stages and perform fast and effective investigations,” said Chris Day, VP Marketing & Business Development at Ambarella. Integrated AI analytics At GSX 2019, Vaion’s North American market representatives will provide an up-close look at how integrated AI analytics are set to fundamentally disrupt traditional video surveillance systems. “We are excited to show how artificial intelligence differentiators can safeguard businesses, schools, and entire communities. The positive response received during our PoC engagements proves that our approach to video surveillance uniquely helps our customers react to threats before they escalate, delivers increased situational awareness, and helps reduce resolution time dramatically. Come get the whole picture at booth #1819,” said Tormod Ree, Vaion CEO.
The excitement of ISC West 2019 continued until the very end – almost. Exhilarated by the first two busy days of the show, attendees and exhibitors seemed to welcome a slower third day. There were no complaints about booth traffic, and still plenty of thoughtful conversations taking place, everyone determined to maximise the value of face time with customers until the last second. Building an IoT ecosystem in SAST At a show lacking in high-profile new technology announcements, the biggest news is perhaps the possible long-term impact of first-time exhibitor Security and Safety Things (SAST), a Bosch startup. SAST is building a new Internet of Things (IoT) ecosystem for the security and safety industry, including an app store, an open and secure camera operating system, a software developer environment, and a portal for integrators. SOCs (system-on-chips inside cameras) are becoming much more capable" Their 1,800-square-foot booth was big for a first-time exhibitor, and the American football theme was well received, as was the substance of the company’s effort to drive innovation in a highly fragmented industry. Seeing actual cameras and apps on display at the ISC West booth is “more real than PowerPoint,” says Hartmut Schaper, CEO of Security and Safety Things (SAST). “For us, seeing is believing,” says Schaper. “It was important for us to show cameras and apps for the first time. People are surprised at how far down the road we are.” “This dynamic will change in the industry,” says Schaper. “SOCs (system-on-chips inside cameras) are becoming much more capable. Soon there will be more processing power on the edge. People will find a way to use the extra processing power.” “Seeing is believing” at the SAST booth at ISC West 2019, where CEO Hartmut Schaper showed several manufacturers’ cameras whose functionality can be expanded using Android apps Developing more apps Several large manufacturers are already involved in the initiative, but there are some holdouts. “We are having ongoing talks with everyone to convince them to join,” Schaper says. “Some of the bigger ones will come around. We are not a camera manufacturer, and not a threat. We are owned by Bosch but are managed completely separately. There will be more and more apps developed, and momentum will increase.” “A year from now we will have successful customers we can talk about, and more camera manufacturers on board,” he says. “This year we are taxiing on the runway, but next year we will have cleared the tarmac and be climbing.” If the approach succeeds, their first appearance at ISC West will be remembered as historic. Future of surveillance cameras Off the show floor, in a nearby meeting room, chip maker Ambarella demonstrated technologies that will be driving the future of video surveillance cameras, including more intelligence at the edge. “People have been using more traditional video analytics approaches, though most of them have been disappointing,” says Chris Day, Ambarella VP of Marketing and Business Development. “What is ground-breaking now is the use of neural networks and real artificial intelligence, which has increased capabilities 100x. "You will see camera products coming out over the next year that are massively better than before. It’s not just incrementally getting better. Cameras will be coming out later this year with analytics that are absolutely amazing based on [the new chips.]” Larry Anderson, editor-in-chief of SecurityInformed.com, talks about Ambarella HDR and Low Light Solutions with Jerome Gigot, Senior Director of Marketing for Ambarella. (Source: Ambarella) New systems-on-chips Ambarella has introduced four new systems-on-chips (SoCs) in the last year, with emphasis on computer vision (video analytics). The newest is the S6LM Camera SoC with 4K imaging technology, unveiled at ISC West. The S6LM includes Ambarella's latest high dynamic range (HDR) and low-light processing technology, highly efficient 4K H.264 and H.265 encoding, multi-streaming, on-chip 360-degree de-warping, cyber-security features, and a quad-core CPU. People shouldn’t forget what a good camera is, and there doesn’t have to be a tradeoff" “With so much focus on AI and computer vision, I’m concerned the industry has taken focus away from low light imaging, wide dynamic range and image quality,” says Day. “You have to see the details in an image. People shouldn’t forget what a good camera is, and there doesn’t have to be a tradeoff, it’s all included in one chip.” From products to systems With a new general manager on board (Daniel Gundlach, formerly of Bosch), FLIR Systems Security Division is continuing its transition from a product company to a solutions provider, removing internal silos to clear the path. FLIR offers a strong end-to-end portfolio for Smart Cities applications, including the TruWITNESS line of body worn cameras and newly acquired Aeryon drones. FLIR’s historical strength as the top thermal imaging provider continues, but today they are much more than a thermal imaging company, offering visible day/night cameras, infrared pan-tilt-zoom cameras, video management systems and other technologies to provide a broader platform. FLIR's Saros security cameras combine multiple security technologies, including thermal sensors, high-resolution visible imaging, IR and visible LED illuminators, onboard analytics and two-way audio and digital input/outputs. Products in critical infrastructure applications In addition to Safe Cities, FLIR installs a range of products in critical infrastructure applications, such as oil and gas and electric utilities. Ports also tend to combine traditional security with an emphasis on perimeter protection, a FLIR strength. Existing perimeter protection applications can open opportunities for the broader platform. For example, installing a complete system in an airport that already uses FLIR’s thermal technology represents “low-hanging fruit” for the company, says Fredrik Wallberg, FLIR Director of Marketing – Security and Intelligent Transportation Systems. Ambarella demonstrates its latest imaging technology for video security during ISC West 2019 (Source: Ambarella) Integrated solutions Bosch's focus At the Bosch booth, there was an emphasis on integrated solutions and the customer experience. A mock retail store setup demonstrated systems such as overhead cameras for people counting and alarm communication to provide an alert if a refrigerator door is left ajar. A wireless panic button generates a silent alarm, communicates with a 2-way radio, and triggers a camera to focus on the area. An AVIOTEK IP camera alarms if there is a fire, based on observing actual flames rather than smoke. A new Bosch fixed dome camera series offers wireless remote commissioning capabilities that reduce installation and set-up time by up to 75 percent. Set-up only takes three steps: install the mounting bracket, connect the cables, and attach the camera module. Commissioning can be done wirelessly or remotely with no need for ladders or lifts. Dahua marks five years in the U.S. An IR illuminator is attached to each lens module to ensure there is always illumination in the field of view Time flies in the security industry, and it has already been five years since the Dahua brand entered the U.S. market. Today the company offers products through ADI and some 20 distributors, and has more than 30 technical consultants and technical support employees and 50 or 60 sales people in the field (including independent rep firms). “We are growing,” says Tim Shen, Director of Marketing at Dahua Technology USA. “It’s exciting for the company.” At ISC West, Dahua introduced a line of Multi-Flex panoramic cameras with lens modules that can be repositioned along an internal track for 180-, 270- or 360-degree views, providing flexibility for integrators. An IR illuminator is attached to each lens module to ensure there is always illumination in the field of view. Cost savings come from ease of installation (one camera instead of four) and only one VMS license (instead of four). AI and night colour cameras Dahua is also emphasising its Night Colour cameras that remain in full colour mode regardless of how dark it gets. There is no IR illumination or IR cut filter – the camera stays in color mode and displays any visible image in colour with as little as 1 lux of illumination. The 2 megapixel version is on display at ISC West, and a 4 megapixel version will come in the fall. A year ago at ISC West, Dahua emphasised its initiatives in artificial intelligence (AI) in order to position the company as a technology leader. This year, the message was more general – ‘Power Through Technology.’ The range of Dahua technologies includes AI, Night Colour, Starlight low-light imaging, fifth-generation HDCVI, and e-POE (Enhanced Power over Ethernet). Dahua USA's Director of Marketing says "the market itself likes AI", and expects more AI applications to follow (Source: Dahua USA's LinkedIn) “When we present AI to customers, they are happy, but when it comes to the budget they don’t have it,” says Shen. “The market itself likes AI, and it’s very much a buzzword. But we still need a proof of concept that it can do something good for end users. We need time to develop broader applications. The ‘smart retail’ market and education are good places to start.” he says. “AI is for project business,” adds Jennifer Hackenburg, Dahua’s Senior Product Marketing Manager. “Projects that are looking at AI haven’t come to fruition yet; they are still in the pipeline. It’s not for your everyday business. They are implementing it, but not as fast.” Access control beyond doors Access control should extend beyond doors. That’s the message I heard at the ASSA ABLOY booth, which displayed a variety of physical locks and intelligent access systems. An example is traffic cabinets, those metal boxes in public locations that could potentially be accessed to invade an internal network. ASSA ABLOY emphasises the need to secure the variety of enclosures, cabinets, drawers and small spaces ASSA ABLOY emphasises the need to secure the variety of enclosures, cabinets, drawers and small spaces throughout an enterprise. The company’s ‘security continuum’ message draws attention to the need for the right level of security for the right opening, using existing infrastructure as well as new electronic technologies. “Customers face a combination of non-traditional access control and questions on how they can secure things that are not doors,” says David Corbin, ASSA ABLOY Director of Access Control Accessories. The security message is resonating beyond the traditional security department to involve other stakeholders in an enterprise, including IT directors. There is new awareness of vulnerabilities that have been there forever, such as traffic cabinets that can be opened with a key purchased on eBay.
OpenView Security Solutions, the UK’S largest privately owned independent security company and a national supplier of electrical and mechanical services, achieves Gold accreditation status in Milestone’s Channel Partner Programme. This accreditation recognises OpenView’s specific product and application expertise as well demonstrating the company’s commitment to delivering the highest level of support to customers across the UK. Peter Greener, Channel Business Manager at Milestone, commented “We are delighted to welcome OpenView to our network of industry-leading technology partners. As a leading provider of security solutions to the public and private sectors, OpenView has demonstrated the highest level of expertise and a track record of building and supporting tailored hardware and software-based surveillance solutions to meet the individual needs of customers.” Meeting requirements Gold accreditation allows OpenView to provide customers with access to Milestone’s full portfolio of open platform IP video management solutions for a wide range of security applications. This includes the Milestone’s award-winning XProtect, which supports over 6000 cameras and hardware devices from all leading manufacturers. This enables users to use the cameras, storage and network components that best meet their requirements and work with their preferred vendors without being locked in to using specific and expensive proprietary hardware. Milestone Channel Partner Programme incorporates a comprehensive Learning and Performance package Fully integrated systems According to Chris Day, Business Development Manager at OpenView Security Solutions: “Achieving Gold accreditation in Milestone’s Channel Partner Programme expands our portfolio of ‘best of breed’ security solutions. This plays a key role in enabling us to provide complete, fully integrated systems with the flexibility to meet the growing customer demand for smart city solutions.” The Milestone Channel Partner Programme incorporates a comprehensive Learning and Performance package that equips partners to effectively scope, design and implement Milestone-based video surveillance systems. Gold Partners are certified in the design, installation and configuration of all Milestone products including XProtect Expert and XProtect Corporate.
In the physical security space, video analytics have historically over-promised and under-delivered, often leaving end users sceptical about their capabilities. However, increased integration with security solutions and other business systems, as well as developments in deep learning and artificial intelligence (AI), have given video analytics a significant boost in recent years. Here, we take a look at the key trends putting video analytics in the spotlight, and how this opens up new opportunities for increased security and business intelligence. Deep learning and AI will enhance video analytics capabilities At the start of 2018, our security industry experts commented on how deep learning technology and Artificial Intelligence (AI) would extend to the video surveillance industry, allowing security professionals to gain very specific insights into human behaviour. Our experts predicted that this would permit organisations to reduce risk, enable efficiencies, reduce costs, ensure compliance and provide faster access to stored video. With AI-enables video systems, video analytics are set to perform more complex applications at a higher level of accuracy. Image processing developments allow intelligent analytics According to Ambarella’s Chris Day, advancing chip technology combined with the neural network approach to computer vision is game changing for video analytics. Since the problem of higher resolution has already been solved, the key differentior for video surveillance systems will be the ability to add computer vision in parallel with image processing and high-resolution encoding – ideally in a chip that is low-power. Integration with security systems increases video analytics value Video systems produce an immense amount of data that is often wasted, says Bosch Security Systems’ Sean Murphy. When video analytics alerts are integrated with other security systems, video events can trigger responses from other parts of the security solution. For example, cameras with video analytics can initiate intrusion detection system events initiate intrusion detection system events, prompting the panel to take action by alerting the central station or sending video to security personnel. Video analytics add value with actionable business intelligence Adding network video to the current generation of Internet of Things (IoT) solutions provides actional value beyond situational intelligence for security purposes. With increasingly intelligent sensors, interactions between business systems are becoming more sophisticated, providing a value greater than the sum of the parts. Organisations can use smart applications to reduce energy consumption, allocate workspace, and reduce operating costs. In a retail environment, analytics are now capable of assessing a scene for occupancy and crowd control, even generating reports of trends over time. Video analytics detect abnormalities to predict incidents Camera-based video analytics can go beyond assessing a current scene to predicting potential risks before they occur, explains Pelco’s Jonathan Lewitt. Based on predetermined factors or analysis of prior events, systems can collect all available information to determine the level of severity of a situation and whether an action needs to be taken. At the same time, systems can correlate data from video and other sources to help analyse similar occurrences in the future. Video analytics increasingly supplemented with audio analytics Audio analytics are often overlooked, notes Hanwha Techwin’s Paul Kong, perhaps due to differing privacy laws from video surveillance. However, audio analytics processed in a camera can help provide a secondary layer of verification for events, as well as identifying gunshots, screams, or other sounds indicating an incident is taking place. This makes audio analytics ideal for dealing with active shooter events at schools and campuses. As Louroe Electronics’ Richard Brent explains, audio analytics software can detect rising levels of human aggression, as well as recognising firearm discharge. This can trigger alerts to ensure incidents are dealt with swiftly.
Ambarella is a big player in the video surveillance market, but not a familiar name to many buyers of security cameras. They don’t make cameras, but they make the computer chips inside. Founded in 2004, Ambarella began in the broadcast infrastructure encoders market and entered the market for professional security cameras in 2008. More recently, the company has also entered the market for automotive OEM solutions. Between 2005 and 2015, the company has produced a progression of advanced camera system on chips (SoCs) designed, developed and mass-produced for the consumer electronics, broadcast and IP camera markets. An SoC includes an image processor as well as capabilities to run software and provide computer vision (analytics). Development has been happening fast at Ambarella. In January, they introduced the CV22 camera SoC, combining image processing, 4K and 60fps video encoding and computer vision (video analytics) processing in a single, low-power-design chip. CVflow architecture provides DNN (deep neural network) processing required for the next generation of intelligent cameras. The even newer CV2 camera SoC, introduced in late-March, delivers up to 20 times the deep neural network performance of Ambarella's first generation CV1 chip, also with low power consumption. I caught up with Chris Day, Ambarella’s vice president of marketing and business development, at the ISC West show to find out more about the company. Q: Your company is not as well known in the industry as it should be, given its widespread impact on the market. Would you prefer otherwise? Day: I think we would prefer more visibility. If you talk to any camera maker, they know who we are. We do business with all the top-10 camera companies – Hikvision, Dahua, Avigilon, Pelco and the rest. Because we are a chip supplier, the end-customer deciding to buy a camera may not know what chip is inside. For that reason, we may not have the visibility. But if you are a camera maker, you know who we are. Typically, it takes nine months to develop a camera, longer with an intelligent camera because you are importing so much software Q: What are you hearing from your camera customers in terms of what they need, and how are they directing where you go with R&D? Day: We have become a major supplier to those companies based on years of developing image processing – wide dynamic range, low light, and similar features – as well as AVC (advanced) and HEVC (high-efficiency) video encoding. That’s the heritage of our company and why we do business with all these companies. The next treadmill is computer vision – adding the intelligence into the camera. The goal is still being best-in-class in imaging and encoding, but now being best-in-class in adding the intelligence and being able to do all those things with very low power, within the “thermal budget” of the camera. That’s the next big wave. Q: How far away is that in terms of the end-customer? How soon will he or she be able to reap the benefits? Day: By the end of 2018, or maybe next year. We’re just beginning to sample the CV22, for instance, which is the first SoC directed to security cameras. Typically, it takes nine months to develop a camera, maybe longer with an intelligent camera because you are importing so much software. So, we’re talking about the end of this year or next year. Q: Tell me about your current products and the next generation. Day: The CV22 is sampling this quarter. CV2 we announced [in late March], which is a high-performance chip. The idea is that we provide our customers with different price/performance points, so they can produce a family of cameras with different capabilities. They have the same basic software model, so someone can invest in software once and then have different performance points without completely rewriting the software. That’s key. They might have 100 software engineers developing neural networks and all the features, so if you have to recreate that at different price points, it’s a lot of work. Ambarella provides customers with different price/performance points, so they can produce a family of cameras with different capabilities Q: Historically, video analytics have over-promised and under-delivered. What would you say to a sceptical user in terms of how much confidence they should have in the next wave of products? Day: Ambarella has been in the security business for 10 years, and some of us have been in the business for 15 years. Every year I’ve been disappointed by the analytics I have seen at the ISC West show. Every year there are incremental improvements – 2 percent, 5 percent, whatever – but in general, I became a sceptic, as well. What is fundamentally different now is the neural network approach to computer vision. Even for us developing these chips: In CV1 we had a certain level of deep neural network performance. We produced CV22 in the same year with four times the performance, and then CV2 has 20 times the performance in the space of one year. That’s just at the chip level. But the neural network approach to analytics and computer vision is game changing if you look at the things you can do with it compared to traditional analytics approaches. If you look at what it’s doing in automotive and security, you will see significant development. I totally appreciate the scepticism, but I think it is completely game-changing at this point, based on the technology in the chips and based on what’s happening with neural networks. Q: What do you think the next big thing is? Day: I think the next big thing is the neural networks; it’s the intelligence in the camera. People have been pushing toward higher resolution, we’ve done 4K, we have incredible imaging even in really dark scenes. So we have been solving all those problems. And so now to add the computer vision and be able to do that in parallel with the image processing and high-resolution encoding, and all in a chip that is low-power. That’s the differentiator. Q: What else is happening? Jerome Gigot, Senior Director Marketing: There is a lot happening on the consumer side, too, with the home security market. You will see cameras in your home with more and more intelligence. Some are used for video doorbells. On some of the new cameras, we have package notification – you get notified if a package arrives, or if someone steals your package. And new battery-powered cameras are very easy to install with no wires.
The HDR processing at full 4K resolution provides detailed video images even under high-contrast lighting conditions Ambarella, Inc., a developer of low-power, HD and Ultra HD video processing semiconductors, introduced the S5L and S5LM SoC (System on Chip) families to enable a new generation of 4K IP security cameras. The S5L is designed for professional IP cameras and includes 4K High Dynamic Range (HDR) processing, multi-streaming, on-chip lens distortion correction, and dual video inputs. The S5LM targets the home monitoring market, including battery-powered IP cameras and video doorbell cameras, and uses a single 16-bit DDR memory for low-power operation. Both chip families feature a quad-core ARM Cortex-A53 for advanced analytics, and are fabricated in low-power 14nm process. Advanced low light processing “S5L and S5LM address the full range of IP security cameras, spanning high-end professional models down to consumer home monitoring cameras,” said Chris Day, VP of Marketing and Business Development at Ambarella. “With full 4Kp30 SmartHEVCTM video, HDR, advanced low light processing and a quad-core CPU, the S5L is an ideal IP Camera platform as the market moves from HD to 4K resolution. Additionally, the S5LM’s low power, advanced video analytics and excellent low light processing will enable doorbell and battery-powered cameras with the industry’s highest image quality and longest battery life.” Both SoC families support Ambarella’s SmartHEVCTM (H.265) and SmartAVCTM (H.264) algorithms to deliver 4Kp30 video with bitrates as low as 512 Kbits/second, while maintaining excellent video quality. Processing full 4K resolutions The S5L’s on-chip lens distortion correction engine supports wide angle lenses up to 180-degrees The HDR processing at full 4K resolution provides detailed video images even under high-contrast lighting conditions. Powerful quad-core ARM Cortex-A53 CPUs support smart analytics, including object and person detection, to reduce false alarms and maximise battery life in battery-powered designs. The S5L’s on-chip lens distortion correction engine supports wide angle lenses up to 180-degrees, while the dual independent video inputs facilitate seamless dual-lens designs. Both SoC families achieve extremely low-power operation and can deliver 4Kp30 video at under 1.5 Watts or full HD at under 0.5 Watts, making them ideal for small form factor and battery-powered designs. Ambarella will demonstrate the new SoCs at a private, invitation-only event held during ISC West 2017 in Las Vegas, April 5 - 8, 2017.