Articles by author: Lizzi Goldmeier
Anyone familiar with the ins and outs of hospital management understands that the security and operational challenges of hospitals are enormous. With thousands of patients, staff members, and visitors entering and circulating the hospital every day, there is much information to monitor and process. While many hospitals know that they need more effective methods for maintaining a safe and efficient environment, most hospitals lack the tools to manage their security and operational needs. One major setback many hospitals face is that they capture hours of video surveillance, but don’t have the resources to efficiently monitor and review the recordings. While this footage could be used to extract useful information and understand vulnerabilities and inefficiencies in the day-to-day hospital operations, petabytes of video data go to waste every day because there is no way of quickly and effectively reviewing all the footage. Video Synopsis® technology offers a smart and reliable video analytics solution for finding targets faster and enabling efficient monitoring. This makes it an ideal solution for maintaining hospital security and operations, facilitating hospitals to: Increase overall security Ensure patient and personnel safety Comply with procedures and regulations Mitigate false liability claims Improve operational management Optimize commercial operations The ability to easily manipulate video data with filters, makes it comfortable for anyone responsible for reviewing the data to find necessary information, detect anomalous behavior, and proactively prevent inefficiencies. We can see the profound impact of video analytics on hospitals by looking back at the Forbes interview with Director of Police, Security and Outside Services at Mass General Hospital, Bonnie Michelman, who anticipated how video analytics could influence hospitals, by combining video and analytics to identify risk situation, crowd control, unattended packages, abnormal traffic flow and suspicious loitering in restricted areas. Today, Mass General Hospital has implemented a video analytics strategy and is leveraging their video data to improve security and operations across the hospital. And it doesn’t stop at hospitals: As video analytics and Video Synopsis technology become more advanced, the types of organizations they can help will become more varied, leading to impactful results for many businesses and institutions.
With 1,300 cameras recording 24/7 and more than 1,000 investigations to process per year, MGH’s security team was not able to keep up with the vast amounts of recorded video. That predicament has been alleviated following the integration of the Milestone XProtect video management software (VMS) platform and BriefCam Syndex Pro, which enables rapid video review, search and analysis. Read the full customer story on Security Sales and Integration.
ISC West 2017 was impressive, with many interesting products and new technologies – where GPU and deep learning took first place in prime time. Participating at NVIDIA’s booth and getting a first glimpse into exciting innovations, certainly highlighted the potential of video analytics powered by GPU and deep networks. With the ability to effectively process highly parallel computing tasks, such as video and graphics, today’s availability of GPU accelerates the process of deep learning, enabling real advancements, which until today could only be imagined. By applying GPU-based deep learning techniques to video analytics solutions, the market can expect faster processing of video alongside richer metadata. This combination will enhance the quality of object extraction and provide new applications that will be beneficial across many more verticals and use cases. Video analytics solutions, strengthened by deep learning, enable covering an entire scene for full object tracking at the highest level. Cost-efficient subscription-based cloud services for home and SMBs, trends over time, connecting to other applications, implementation with small appliances, cross camera search and family member identification are just some examples of possibilities the future holds. Furthermore, we can expect to see performance and accuracy improvements in: Video search, alerts and statistics Scene coverage for occupancy, crowd management and queue control Cross camera search and re-entry of objects Metadata aggregation over time and trending What’s clear from ISC West, is that expectations from deep learning are high – and rightfully so. GPU-based deep networks particularly facilitate making sense of actual video content. This means video can be searched by the content that is actually displayed in the video. Video remains the strongest sensor and metadata is still king. Leveraging deep learning capabilities, Video Synopsis® and analytics can deliver more value to various markets, from law enforcement and security to safe and smart cities, campuses and retail. Interested in learning more about GPU processing for video analytics? Check out CTO Tom Edlund’s latest blog post about cost efficient video processing using GPUs.
LAS VEGAS, ISC West, April 5, 2017 -- BriefCam®, the Video Synopsis® company, today announced that it is showcasing its latest achievements in Video Synopsis and advanced analytics at ISC West, Sands Expo Center, Las Vegas, NV, Booth #34093, April 5-7, 2017. Amit Gavish, BriefCam’s General Manager of Americas, said, “we’re excited to share the latest developments with our current customers, alongside newcomers. We will be performing live demos of BriefCam Syndex Pro, based on Video Synopsis, as well as demonstrating how organizations can leverage our GPU-based solution to process more video in less time, while extracting more metadata for enhanced object classifications.” In addition to its booth, BriefCam is being presented by various partners. Two main live demonstrations will take place at: Genetec, Booth #28055, exhibiting Syndex Pro integrated into Security Center (see Partner Technical Notes). NVIDIA, Booth #20075, demonstrating Syndex Pro running on NVIDIA’s GPUs (read PR for further details). Salient, Booth #26041, showing Syndex Pro integrated into CompleteView (read PR for full story). BriefCam is sharing expertise and insights at the following speaking sessions, and all attendees are welcomed to join: Thursday, April 6, 8:45am, session at Sands 201 Level 1: Amit Gavish, speaking on how to gain value from video across verticals and use cases, from law enforcement and security to safe cities and retail. Thursday, April 6, 2:00pm – Tom Edlund, BriefCam’s CTO speaking at NVIDIA’s Theatre Talks (Booth #20075) about how to leverage deep learning and GPUs to accelerate surveillance video to insights. Click here to schedule a meeting with BriefCam at the event. About BriefCam BriefCam develops and delivers Video Synopsis® solutions, empowering organizations to validate their investment in video by extracting value from video-data across all levels of organizations, maximizing security, operations and business efforts. For more information: www.briefcam.com. For updates: www.twitter.com/briefcamvs.
The video analytics industry is constantly producing new and innovative solutions to provide deeper insight and derive more useful applications from video. These new capabilities often require more compute power. GPUs (Graphic Processing Units), if used correctly, can accelerate video processing and reduce costs. Therefore, many platforms are now adding GPUs to offload the CPUs (Central Processing Units) processing. Recently, this trend has been accelerated by the wide adoption of Deep Neural Networks (DNNs) to analyze images and videos. GPUs were originally designed to optimize rendering-to-display devices and enabled the rapid advancement of the computer game industry. Today, GPUs are also used for General-purpose computing (GPGPU) using higher level frameworks such as OpenCL or CUDA. GPUs excel in repeated parallel computations of large data (aka Single Instruction Multiple Data, or SIMD) and are ideal for DNNs and many image processing algorithms. Also, GPUs have dedicated HW for video decoding and encoding. Considering these advantages, it may seem straightforward to run your video analytics on GPU and improve performance. This is true if most of your computations are done by large/deep DNNs or run full frame processing at high resolutions. However, video analytics are often highly optimized and limit the computations to small regions of interest and lower spatial and temporal resolutions, making it difficult to reach high utilization of the GPU. In such cases, you will need to invest more in your system architecture to fully utilize the GPU by using technologies such as batching and buffering. If you consider porting a video analytics engine from CPU to GPU you should ask yourself the following: Do I use DNNs for most of the computations today or am I planning to in the future? Are my computer vision algorithms GPU friendly (e.g. data size and parallel computations)? Where do I deploy my processing? Edge devices, laptops and workstations are ideal for GPUs, while its harder to reach cost effectiveness on local or cloud servers. Every organization’s video processing needs are unique, and the answers to these questions should help give you an idea as to whether moving to GPU processing might be worth considering for you. If you’re looking to gain deeper insight about running video processing on GPU, you are invited to join my talk on April 6th at 2:00pm at NVIDIA’s ISC West booth #20075.
AUSTIN, Texas, Mar. 29,2017 -- Salient Systems, a leading provider of enterprise level video management systems today announced their partnership with BriefCam, the Video Synopsis company. With CompleteView VMS and Syndex Pro based on BriefCam’s Video Synopsis technology, customers see a significant reduction in the amount of time and resources required to view video and an acceleration of post-incident investigation and operational management. “We’re very excited to enhance our partnership with BriefCam through participation at ISC West,” says Chris Meiter, president, Salient Systems. “We leverage both of our company’s integration capabilities with open architecture and robust API’s and SDK’s to bring advanced technology solutions to the marketplace. The combination of CompleteView VMS and BriefCam’s Syndex Pro allows users to compress hours of video footage into minutes for fast viewing and effective search and analysis.” “We are pleased to strengthen our relationship with Salient Systems,” said Amit Gavish, BriefCam’s General Manager of Americas. “Extending the integration of Syndex Pro to CompleteView VMS will enable customers to benefit from best-of-breed video analytics solutions, gaining maximum value from their video investment, and leveraging the huge amount of generated data to enhance security and productivity across all levels of their organization.” These advanced technologies provide instant access from the video client to launch video compression, allowing the user to manage complex deployments and provide actionable information to management and law enforcement. Advanced search analysis tools narrow search criteria by color, shape, direction, size, speed and more. View security differently with Salient VMS and BriefCam’s Video Synopsis technology. About Salient Salient offers comprehensive video surveillance management systems designed for the full range of surveillance technology needs from analog to IP to Cloud. Based on open architecture, CompleteView, Salients’ Video Management Software scales from entry level to enterprise and provides everything needed to manage a multi-server, multi-site video surveillance installation from desktop, laptop and mobile smartphones. About BriefCam BriefCam® develops and delivers Video Synopsis® solutions, empowering organizations to validate their investment in video by gaining value from video-data across all levels of organizations, maximizing security, operations and business insights. For more information: email@example.com; Mobile: +972 54 215 2653
Last week, I talked about how small and medium sized businesses (SMBs) face large challenges and whether they are getting value from their video recordings. This week, I want to ask the same question for homeowners. Are they getting their videos worth in the home? Ask anyone in the industry, and they’ll tell you that IP cameras are one of the fastest growing categories in consumer electronics, both as a stand-alone single point camera solution, or part of a monitored home security offering. SDM presents great perspectives on the role of IP cameras in the residential market in this article. The list of reasons why consumers buy a security camera is long and wide, but a common theme for the purchase is peace of mind. A security camera should be able to fulfill this promise because it allows people to: Know what’s going on in their home Gain a sense of security Be alerted when something goes wrong And, with mobile phones, check in from anywhere, anytime… But do the cameras really fulfill all of these promises? Unfortunately, I say they don’t…. If you watch almost any commercial for a home security camera, the focus of the marketing message is on the high level critical value propositions stated above, plus more. Things get complicated when the camera technology cannot fully deliver on either the promises made by the manufacturer, or the expectations of the consumer. Motion detection capabilities in a camera do exactly what they are supposed to do…. detect motion. Unfortunately, the camera does not have the ability to understand the relevance of the motion it’s detecting, so it sends an alert accordingly. It could be the family, the pets, trees blowing in the wind, light changes, etc. They detect and alert on ALL motion, not just the motion the owner wants to know about. Upon setting up a security camera in a home, most consumers are excited to get that first alert come across the phone indicating the camera detected motion. More often than not, Mom and Dad are telling the kids to go wave at the camera. Bzzzz! Your phone notifies you motion was detected. Hurrah!! Several days, or weeks later, after getting 20, 30, and sometimes 40 or more push notifications that your family and pets have walked in front of the camera, the homeowner gets frustrated, and ends up turning the alert capability off. I saw this exact consumer behavior pattern in my prior platform, and have heard the same from other platform providers. Once notifications are disabled, one of the very core reasons a consumer bought the camera to begin with goes away, and the expected value is no longer there. Rather than detect only motion, what if the camera could detect people, animals, vehicles, or more importantly, trusted family members? What if you only got alerts when the dog got on the couch, but not when your kids walked through the living room? What if you got an alert when a burglar was actually in your home rather than a trusted family member? What if you could see a 1 minute video summary of all of the activity in the home, and if you saw something of interest, you could stop and go to the original video from earlier in the day. These capabilities alone would fulfill the implied benefits and expected value consumers expect from a camera.
In the age of Big Data, IoT (Internet of things), video analytics, deep learning and everything in between, the ability to effectively generate valuable information from raw video becomes a necessity. With the right tools, the volume of data analyzed, the accessibility across an organization and applications for security, safety, operations and beyond, the potential of video surveillance technologies can finally be realized.The use of video surveillance by law enforcement, security agencies, investigators, public safety, transportation and safe cities is constantly growing. Much has been said about the imminent explosion of video data and the challenges it brings. For video data to be considered useful information that is worthwhile reviewing, the video data must be first tagged, organized, searched, combined, filtered and finally processed into a form that enables organizations to act upon it in a productive way. [More… Taming the Video Data Monster]