BriefCam, the industry’s leading provider of Video Content Analytics and VIDEO SYNOPSIS® solutions, and the 2020 Platinum ‘ASTORS’ Award Winner for Best Video Analytics, weighs in on the video analytics industry trends that shaped 2020 and will continue to evolve in 2021 and beyond.
As 2020 comes to a close, it is time to reflect on how the video content analytics industry might evolve in the coming year.
Deep Learning, Edge computing, and COVID-19 are among the key factors that are affecting technology development and adoption today.
Turning to BriefCam experts to weigh in with their comments and predictions, here’s what they had to say:
Deep Investment in Deep Learning
In the video analytics space, there is still a race around the price and accuracy of solutions, diversity of metadata (i.e., how many classes, attributes, etc.) and granularity (for example, car type versus car make and model), explains Tom Edlund, BriefCam CTO.
Competition will continue to drive richer classification, more granularity, and reduced operation costs. And the more granular the metadata becomes, the more applications that one can drive.
(Organizations that use video surveillance are typically overwhelmed with high volumes of video footage; there is not enough time to review the video, or fully comprehend all of the information in it. See how BriefCam video analytics software transforms video footage into data that is searchable, actionable and quantifiable, enabling operators to pinpoint objects, people, faces, vehicles, and behaviors of interest. See how end users can rapidly and accurately review video footage for post-event investigation; respond to evolving incidents based on real-time alerting; and derive operational intelligence from visualized video data. Courtesy of BriefCam and YouTube.)
Deep Learning (a subset of Artificial Intelligence) will continue to drive advances in many areas such as medical imaging, robotics, computer graphics and big data.
In the video analytics space, Deep Learning will be the main driver to improve accuracy, reduce costs, and expand video understanding.
Computer Vision technology will continue to support Deep Learning technologies by efficiently solving simple tasks.
Advancing toward Predictive Analytics
In particular, Mr. Edlund expects to see more prediction-based capabilities, such as true anomaly detection derived directly from the video or from the rich video meta-data generated.
People are limited in the amount of data they can absorb and analyze, but AI can bridge those gaps, and video surveillance meta-data can be combined with other data sources and sensors for generating unprecedented business intelligence out of all that Big Data.
As more data is aggregated over time and across multiple cameras, there will be significant advancement in dimensions that are more predictive.
These developments will make it easier for video analytics systems to detect more granular actions and interactions (falling, tripping, etc.), and automated alert configuration when norms and benchmarks are violated.
Anomalous behavior can be reviewed interactively on-demand for deep insights or in real-time to drive immediate alerting and response when time is of the essence and situations are evolving.
(See how BriefCam® comprehensive Video Content Analytics Platform can make video searchable, actionable and quantifiable for driving exponential value from existing surveillance camera investments. Courtesy of BriefCam and YouTube.)
Video Analytics at the Edge
From a technology perspective, the trend towards edge appliances and analytics is going to continue to grow tremendously and quickly says Gili Rom, BriefCam VP of Strategic Initiatives.
This transition to edge computing is part of the larger digital transformation and IoT trend, with IP cameras presenting an edge opportunity within the physical security industry.
We see more cameras being manufactured with analysis capabilities, as well as the availability of AI chips that can drive computing at the edge at a lower cost than ever before.
We might also see more edge appliances as a transition platform to leverage existing cameras in the field until a time when on-camera analytics are the industry standard.
As the greater technology ecosystem embraces edge computing and cloud technology, we can expect that physical security – including the intelligent video surveillance market – will continue to gradually trend in that direction, as well.
Coupled with these technology trends, we can expect further adoption of subscription-based license models, as their natural commercial extension.
Innovation in the Face of COVID 19
(Discover how BriefCam’s Video Content Analytics Platform offers Proximity Identification for supporting contact tracing and physical distancing to drive public health and safety as private businesses and public spaces reopen in the wake of the COVID-19 pandemic. This video demonstrates how to forensically review video with speed and precision to identify and trace diagnosed individuals and persons with whom they have been in contact, by using face recognition, appearance similarity and proximity identification capabilities. Courtesy of BriefCam and YouTube.)
Because the COVID-19 pandemic will continue to slow down the global economy well into 2021, it will become even more critical for organizations to leverage existing technology investments — such as video surveillance systems — to get more value from them, added Ms. Rom.
For many industries, video analytics that enhance existing surveillance is a key enabler for business continuity, as these organizations must rely on technology to meet customer expectations and comply with government mandates for health and safety.
Not only has COVID 19 validated the need for broad analytics as well as real-time video processing for immediate response, it has also affected the types of analytics that businesses need.
In that sense, it’s becoming clear that – although point solutions are helpful for solving individual pain points – a comprehensive platform approach is becoming increasingly important for video content analytics to support a variety of analytics, including people counting, proximity detection, and face mask detection.
The Growing Importance of Video Analytics
One thing is abundantly clear, explains Gil Briman, BriefCam CEO, video analytics software continues to become more widely embraced by a variety of industries, and play an increasingly important role in ensuring business continuity and growth.
For these reasons, we see many major Video Management Systems (VMS) manufacturers adding analytics capabilities to their offerings, acquiring analytics technologies and integrating with industry-leading analytics providers, and this trend will continue into 2021 and beyond.
BriefCam Takes Platinum in the 2020 ‘ASTORS’ Awards Program
American Security Today’s ‘ASTORS’ Homeland Security Awards program is in its Fifth Year and continues to recognize the Outstanding Innovations of top firms and agencies in the Homeland Security and Public Safety fields.
2020 has been a very challenging year for everyone due to the COVID-19 pandemic and the much heralded AST ‘ASTORS’ Awards Winners Presentations and exclusive Luncheon at the Jacob Javits Center in NYC has been canceled and rescheduled for 2021 due to the virus.
However, the 2020 ‘ASTORS’ Homeland Security Awards Program was again a huge success and many new categories were added including a section for COVID-19 Detection and Innovation.
BriefCam
Best Video Analytics Solution
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BriefCam Video Content Analytics Platform
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The BriefCam Video Content Analytics Platform is a comprehensive and extensible platform that makes video searchable, actionable and quantifiable based on state-of-the-art machine learning techniques.
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Analyzing surveillance video, the platform detects, extracts, identifies, classifies and indexes the objects that appear and empowers organizations to leverage this data for accelerating investigations, improving situational awareness and deriving operational intelligence.
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The BriefCam Video Content Analytics Platform is designed to meet the safety, security, and operational efficiency needs of today and tomorrow, helping diverse organizations accelerate investigations, attain situational awareness, and derive operational intelligence.
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*BriefCam was also recognized in the 2019 and 2018 ‘ASTORS’ Awards Programs.
BriefCam® is the industry’s leading provider of the VIDEO SYNOPSIS® technology for rapid video review and search, real-time alerting and quantitative video insights. By transforming raw video into actionable intelligence, BriefCam dramatically shortens the time-to-target for security threats while increasing safety and optimizing operations.
BriefCam products utilize the latest deep learning technology to improve security, safety and efficiency, and are deployed by top law enforcement agencies, governments and Fortune 500 companies across the globe.
BriefCam’s groundbreaking technology transforms how organizations use video surveillance, and in addition to the 2020 ‘ASTORS’ Homeland Security Awards Platinum Win, has been recognized with a series of industry accolades, including The Wall Street Journal Technology Innovation Award, Security Products Magazine New Product of the Year, SIA New Product Showcase Best in Video Analytics Award, and CNBC Europe’s 25 Most Creative Companies.
To Learn More about BriefCam’s VIDEO SYNOPSIS® technology, please visit briefcam.com.
The 2020 ‘ASTORS’ Awards Program is sponsored by ATI Systems, Attivo Networks, Automatic Systems, Desktop Alert, X.Labs and Reed Expositions, every one a returning Sponsor from 2019.
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