BriefCam BootCamp

WATCH HOW ORGANIZATIONS TRANSFORM VIDEO INTO ACTIONABLE INTELLIGENCE

See BriefCam’s technology in action! Watch how organizations use BriefCam to review, respond and research to security issues and uncover business intelligence.

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If your organization wants to import still or video images for face recognition, watch this video to see examples of how to add a facial recognition entry to a watchlist. All BriefCam software products work with still digital images for the purposes of facial recognition. However, BriefCam products Investigator, Protect and Insights can also utilize…

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This video explains that BriefCam Face Recognition technology does not reference or interface with image databases that external from a customer’s image watchlist. A BriefCam customer can create watchlists and upload images to those watchlists only if those images came from video or still digital images acquired through the customer’s video surveillance networks. Learn more…

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This video explains that BriefCam products do not store personally identifiable information (PII) about individuals, and they comply with the European Union’s General Data Protection Regulation (GDPR). Learn more about BriefCam’s face recognition technology.

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Used by enterprise businesses and law enforcement organizations, the BriefCam Protect and BriefCam Insights products can include Face Recognition functionality. This video explains how the Face Recognition functionality is an optional feature that can be disabled if necessary due to local laws or internal compliance. However, even if organizations disable the face recognition functionality, they…

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The latest release of BriefCam’s comprehensive and extensible video analytics platform includes new capabilities and improvements in accuracy and usability across its product lines, including: Accuracy improvements to a number of key analytics RESEARCH module improvements Support for large scale deployments

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What makes BriefCam video analytics software different from other solutions? There are many point solutions for video content analytics, such as face recognition, people counting, and license plate recognition. In contrast, BriefCam is a high-performing, comprehensive analytics platform that offers all those highly-sought-after essential capabilities, plus investigative REVIEW tools, real-time alerting for situational awareness, and…

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What is BriefCam’s vision for video content analytics in the coming decade? Watch this video to find out! BriefCam was launched 12 years ago (2009), beginning with its patented, proprietary VIDEO SYNOPSIS® technology, which superimposes objects that appeared at different times in video into a condensed summary, so that hours of video can be reviewed…

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Watch this video to learn how the RESEARCH module of the BriefCam Video Analytics Platform now offers face re-identification across multiple cameras, so that the technology can be leveraged to identify individual anonymized faces and aggregate the data over time to uncover intelligence about unique visits, repeat visits, bounced visits, and average visit duration.  

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To ensure highly accurate Face Recognition, it is crucial to have a face image that has high resolution, i.e., pixel count. That is why BriefCam’s face recognition technology requires a minimum face image size of 24×24 pixels. Watch this video to learn the various factors that can affect the resolution of images: camera resolution, lighting,…

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The National Institute for Standards and Technology (NIST) has created two standard datasets of images to test facial recognition technologies: 1) “In the wild” (LFW) images that are more typical of images captured in video surveillance, and 2) constrained (IJB-8) images that are based on celebrity photos from media outlets. This video explains how BriefCam…

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Watch this video to learn how different camera types (fisheye, multi-sensor, infra-red, thermal), as well as camera placement, lighting, and focus can affect the quality of face images in Face Recognition technology. Learn useful tips about resolution, lighting, shutter speed, focus, and camera angle to collect high-quality images, which will help ensure the accuracy of…

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Facial recognition technology has crucial public safety applications, such as cracking cold cases, thwarting potential terrorist attacks, finding missing persons, investigating human trafficking, and solving thousands of other types of crimes. When combined with human oversight, the technology overcomes human biases and provides accurate data to augment human observations. Watch this video to understand BriefCam’s…

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This video explains the several technology factors that enable high accuracy for “in the wild” Facial Recognition deployment. Factors include camera type placement, focus, and position, as well as the light source. Other variables include resolution of each face image, framerate, bitrate, and speed of the people as they pass by the camera. For optimal…

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There are more than 350 million video surveillance cameras worldwide recording around the clock, every day, producing overwhelming amounts of video data that is largely untouched. What if you could drive exponential value from your video content by making it searchable, actionable, and quantifiable? • Decisions would be truly data-driven • Crimes would be solved…

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Watch this video to see how BriefCam enables an operator to upload only watchlist images that have a high-quality score when setting up real-time Face Recognition alerts. This helps ensure greater accuracy when comparing watchlist images to possible matches in real-time video feeds. The system will indicate possible matches, with side-by-side comparisons of the watchlist…

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Learn how BriefCam’s face quality scoring functionality allows operators to select a reference face image from video footage, and then search for matching images. The software detects faces in a scene and scores the quality of the face image. The scoring system helps users select the highest quality images when conducting side-by-side comparisons of potential…

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Learn how BriefCam Face Recognition that is powered by Deep Neural Networks (DNNs) is able to verify or identify a person from a digital image or a video frame from a video source. This video explains how BriefCam curates DNNs with diverse training sets to prevent biases, and adds other workflow techniques to compensate for…

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Learn how to use BriefCam to create a Face Recognition watchlist, and easily upload multiple image files into it. Each identity can have more than one image associated with it, to provide operators with a choice of quality images to match against it.

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This video demonstrates how BriefCam’s Face Recognition function searches for faces that are on a digital watchlist. Each face on a digital watchlist has an identity name and number. The system can identify face matches in archived footage or real-time footage, and then display face matches side-by-side so that operators can compare the images.

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BriefCam’s fully integrated License Plate Recognition capability enables managers and security teams to track vehicle activities in a fleet logistics or operations center, and locate particular vehicles by license plate number. Operators can track all vehicle activity on premises, such as vehicle entrances and exits, as well as off-premises activities, such as the duration of…

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Video Content Analytics for Combatting the Public Health Crisis
BriefCam Overview
Case Study
Helping Hartford Police Department Achieve City-Wide Change