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Video Analytics & Artificial Intelligence

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Businesses around the world are turning towards video analytics solutions to boost productivity and security, enabling them to make more data-driven choices. With our video analytics and artificial intelligence solutions, you can now do the same using your video surveillance content. Whether you want to use them to derive actionable insights or respond instantly to critical situations, our solutions are available to help you strike an optimal balance between sensitivity, accuracy, and efficiency.

Unlock the full potential of your video surveillance system with our video analytics and artificial intelligence solutions. Get in touch with us.

PLATFORM OVERVIEW

THE BRIEFCAM COMPREHENSIVE VIDEO ANALYTICS PLATFORM

TRANSFORMING VIDEO INTO ACTIONABLE INTELLIGENCE

Realize Valuable Insights From Video Surveillance

The BriefCam® complete Video Content Analytics platform drives exponential value from surveillance system investments by making video searchable, actionable and quantifiable.

Delivering accurate, flexible, and comprehensive solutions, BriefCam’s video analytics platform provides valuable insights for accelerating investigations, increasing situational awareness and enhancing operational intelligence.

  • INNOVATIVE & EXTENSIBLE PLATFORM: A robust portfolio of critical video analytics capabilities fully integrated across the platform for a better together paradigm.
  • UNMATCHED ACCURACY: Leverage market leading accuracy for detection and classification across object classes, attributes, behaviors, as well as face and license plate recognition.
  • SUPERIOR PERFORMANCE: Effectively supports the requirement for both on-demand and real-time analytics for full camera coverage.
  • FLEXIBLE ARCHITECTURE: Designed to meet the business needs of today and tomorrow for deployment architectures, including standalone or multi-site, all-in-one-appliance or distributed, on-premises or cloud, as well as edge and hybrid deployments.
  • CENTRALIZED ANALYTICS & ALERTS: With the BriefCam Hub, multi-site customers can centrally view and analyze alerts generated at remote sites as well as intelligence dashboard visualizations from all sites.
  • EASE OF USE: Quickest time to value and lowest total cost of ownership drives productivity, accelerates time to target and gains the competitive edge.

THREE SEAMLESSLY INTEGRATED SOLUTIONS

PLATFORM EDITIONS

BRIEFCAM REVIEW

SEARCH & REVIEW HOURS OF VIDEO IN MINUTES

SOLUTIONS TO HELP INVESTIGATORS ACCELERATE INVESTIGATIONS

Accelerate Investigations

By leveraging the REVIEW capabilities, users can pinpoint objects and events of interest to advance investigations and powerfully accelerate time to target. This solution supports effective case management, so investigators can organize video assets, bookmark objects of interest, summarize case findings, and export reports, while dynamically collaborating on cases with other users.

With REVIEW, operators can review hours of video in minutes and refine search results through filter tolerance as well as density, speed, direction, and sort controls. REVIEW enables cross-camera video search and filtering, based on an ever-expanding set of object classes and attributes, as well as Visual Layers, which presents activity, dwell time, common paths, and background changes as easily readable heatmaps for increased scene understanding. Lastly, the patented BriefCam VIDEO SYNOPSIS® solution, which simultaneously presents objects that have appeared at different times within the video, resulting in a dramatically shorter video segment that fully preserves the viewer’s ability to analyze the scene.

BRIEFCAM REVIEW

BRIEFCAM RESPOND

REAL-TIME ALERTING & RAPID RESPONSE

RESPOND TO CRITICAL CHANGES IN YOUR ENVIRONMENT

Attain Situational Awareness

With BriefCam RESPOND you can trigger real-time alerts based on complex object classification and recognition filter combinations to increase situational awareness and deliver critical, time-sensitive intelligence. RESPOND empowers you to react to events as they unfold, from proactively protecting people and property to driving better visitor or customer engagement as opportunities arise.

BriefCam allows for improved responsiveness, real-time decision-making, and effective balancing of sensitivity, accuracy and efficiency with alerting rule configuration, face and license plate watchlist management, and alert notifications for messaging services and VMS alarm areas, including integration with Genetec Security Center, Milestone XProtect, Axis ACS, IndigoVision Control Center, Qognify Ocularis, Digifort Enterprise, and Verint EVMS.

BRIEFCAM RESPONSE

FACE RECOGNITION

Face recognition technology provides another way for law enforcement and enterprise organizations to leverage face matching capabilities for safety, security and operational efficiencies. BriefCam’s face recognition capabilities provide best-in-class face matching as a seamlessly integrated component of its extensible Video Content Analytics platform. Users can:

  • Utilize external image sources, digital images extracted from video, and pre-defined watchlists
  • Create scalable watchlist management and powerful rule configurations
  • Generate real-time alerts in critical, time-sensitive situations
  • Receive notifications to messaging services, and the VMS alarms area

FROM REACTIVE TO PROACTIVE

BriefCam’s Smart Alerts provide near real-time notifications of safety, security and operational events such as:

Loitering of people and vehicles

Entering restricted areas

Objects moving in the wrong direction

People or vehicles on train tracks

Vehicles parked in drop off areas

Jaywalking

Cyclists on the sidewalk

Toll and fare evasion

BRIEFCAM RESEARCH

QUANTITATIVE ANALYSIS OF VIDEO DATA

LEVERAGING VIDEO FOR BIG DATA

Derive Operational Intelligence

Uncover patterns, drive strategic decision making, and optimize operational and business practices by aggregating video data in a fully-integrated, highly customizable business intelligence platform. BriefCam RESEARCH visualizes object movement, demographic segmentations, behavior trending, hotspots and object interactions. It offers interactive, intuitive and easy to use dashboards for data analysis, as well as tools for auto-generating and prioritizing relevant data points and charts.

With business intelligence, you can seamlessly correlate video analytics with third party data sources, such as Point of Sale, Time Management, and Access Control, for a uniquely informative view of your environment and export data to external business intelligence databases for further analysis and correlation.

BRIEFCAM RESEARCH

CHANGING THE WAY VIDEO IS USED

Leverage video surveillance content to uncover quantifiable data and trends to better understand your consumer behavior and increase profits. Map customer paths, object interaction and dwell time:

Tracking crowd demographics, size and movement patterns

Identifying crime hotspots

Designing more profitable retail floor plans

Uncovering optimal store locations

Optimizing traffic flow at major interchanges

Tracking employee compliance with safety regulations

Frequently Asked Questions

What is AI-Based Video Analytics?

Artificial intelligence (AI) based video analytics is known by many names, including video content analysis (VCA), video AI, and intelligent video. It is a process that uses video data to extract actionable insights and conclusions. These analytics alleviate the strain of repetitive and time-consuming video observation tasks carried out by people. AI will not only monitor data but will also train to automatically recognise, classify, and tag items using large volumes of video footage. In general, it is a technology that helps people make more informed decisions.

Is Video Analytics a Part of AI?

Video analytics, also known as video analysis, is the process of extracting valuable information from video recordings. This process can vary from counting the number of people in a video to identifying specific individuals or objects. Computer vision, a branch of artificial intelligence that deals with the analysis of digital images and videos, is used in modern video analytics. With a wide range of applications across a variety of industries, video analytics enables you to automate formerly manual operations.

How is Artificial Intelligence Used in Video Analytics?

Video analytics was once a manual process that relied heavily on human data analysts to observe data and discover patterns. This can take a long time, particularly if you are dealing with a large amount of video data. At present, AI and machine learning can automate a significant portion of the data analysis procedure, allowing them to process large volumes of video data faster and more accurately compared to humans. As a result, AI analytics can uncover complex patterns and predictive insights that may not be apparent through manual analysis. They are also ideal for real-time or near-real-time analysis due to their ability to manage and process large volumes of data quickly.

How Can Video Analytics Help Security Surveillance?

Video analytics helps review and evaluate hours of video surveillance footage, enabling you to identify and capture critical surveillance material in real-time. It also improves security surveillance efficiency by reducing the workload of security management personnel. Video analytics allows you to capture the best possible video footage of an area by making your security cameras, such as hemispheric cameras (360 cameras), smarter in their function. As a result, when it comes to security surveillance, businesses benefit from the seamless monitoring, smart detection, and automated security alerts of video management software solutions.

How Does Artificial Intelligence Sharpen Thermal Camera Images?

Thermal cameras are a useful device in a variety of fields, including surveillance, wildlife research, and medical diagnostics. However, one common issue with thermal camera images is their blurry quality, which affects their usability and accuracy. As a result, artificial intelligence algorithms are utilised to improve their quality. AI employs a process known as deblurring to enhance these images. Depending on their approach, the algorithm can also apply deep learning techniques to make them clearer.

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