A Paradigm Shift in Real-Time Video Surveillance Through AI Analytics

A Paradigm Shift in Real-Time Video Surveillance Through AI Analytics

CLIENT

Vicon Security

DISCIPLINES USED
  • Artificial Intelligence
  • Deep Learning
  • Machine Learning
PROJECT
Developing an AI-based analytics solution that could accurately detect, track, and analyze people and objects captured in video footage, for Vicon, an advanced security and surveillance technology company.
THE BACKGROUND
Vicon is a global leader in advanced security and surveillance technology to safeguard businesses, schools, municipalities, hospitals and cities across the world. They recognized the need for a more intelligent camera system that could provide valuable insights and automate decision-making processes. With this goal in mind, they decided to incorporate AI algorithms and computer vision techniques into their video management software to enable their clients to make more informed decisions based on the data collected from their surveillance systems. They approached CXR to help them develop an integrated solution.
THE BACKGROUND
THE CHALLENGES
The main challenge in developing the software suite was creating a solution that could accurately detect and track people and objects in real-time, despite varying lighting conditions, camera angles, and environmental factors. Another significant challenge was designing a solution that could be easily integrated with the existing video management software and customized to suit the specific needs of each organization.
THE CHALLENGES
    SOLUTION
    We worked closely with Vicon AI to develop a solution that would meet their requirements. We leverage our expertise in computer vision, machine learning, and deep learning to develop a suite of software solutions that included person detection and tracking, object detection and tracking, facial recognition, license plate recognition, crowd density analysis, heat mapping, and abnormal behavior detection. We used a combination of deep learning algorithms, computer vision techniques, and real-world data to train the models, ensuring that the software suite could accurately detect and track people and objects in a given region of interest.
    SOLUTION
    FEATURES / PROCESS
    • Real-time detection and Tracking

      The software uses advanced deep learning algorithms and computer vision techniques to detect and track people and objects in real-time, regardless of lighting conditions or camera angles.
    • Object Classification

      The software is able to distinguish between different types of objects, such as people, vehicles, and animals, allowing organizations to better understand the behavior and movement of objects within their surveillance systems.
    • Integration With Existing Systems

      CXR worked closely with Vicon AI to design a solution that could be easily integrated into Vicon's existing video management software, ensuring a smooth transition and easy adoption for end-users.
    • Forensic Searches

      Simplifies post-incident searches by allowing users to filter out non-relevant video. It enables quicker and easier access to the specific information needed, streamlining the investigative processes and reducing the time required to extract actionable insights from the recorded footage.
    • Intelligent Real-time Alerts

      Valerus, the AI-based analytics solution, goes beyond traditional motion-triggered recording. It employs object-based recording, capturing events only when they involve a person and/or vehicle. By filtering out "environmental noise" that can trigger false alarms (such as shadows, swaying trees, and bushes), Valerus significantly enhances operational efficiencies and ensures that critical events are accurately captured and recorded.
    Service Process
    Service Process
    RESULT
    The AI-based analytics solution developed by CXR.Agency for Vicon AI, has helped them to improve their security, optimize their operations, and enhance their customer experiences. The solution's accuracy, speed, and ability to analyze video data in real-time have made it a valuable asset for organizations looking to gain insights from their video footage.

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