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Sensing Feeling
Smart Visual Sensing for Safer Real World Spaces

What is Sensing Feeling?

Sensing Feeling provides an advanced visual sensing platform that uses AI and computer vision to deliver real-time data for managing safety, security, and occupancy in physical spaces. The system processes video feeds from existing CCTV cameras or dedicated sensors at the edge, generating anonymous analytics such as people counting, crowding densities, and anomaly detection without recording identifiable images or storing personal data.

The platform is built on deep neural networks and offers a wide range of out-of-the-box algorithms, including object detection, people analytics, safety analytics, and behavioral analytics. It transforms raw video into actionable insights via a web console or API, enabling operators to monitor compliance, detect hazards, and optimize operations in environments like construction, manufacturing, events, and transportation.

Features

  • Real-Time Digital Twin: Delivers a live, data-rich digital replica of physical spaces.
  • No Image Recording: Processes video without storing footage, ensuring privacy.
  • Anonymized Analytics: Detects people and objects but does not identify or track individuals.
  • Out-of-the-Box Algorithms: Offers pre-trained models for people counting, crowd density, queue metrics, and more.
  • Custom Model Training: Provides the ability to train and deploy bespoke computer vision models for specific needs.
  • Edge Computing: Runs algorithms on low-power edge devices for low-latency processing.
  • Web Console & API: Delivers data through an intuitive interface and a rich web API for integration.
  • Scalable Architecture: Designed to scale across many cameras and multiple algorithms.

Use Cases

  • Monitor worker safety and equipment interaction on construction sites.
  • Manage crowd densities and flow at venues and events.
  • Analyze pedestrian and traffic flows in shared urban spaces.
  • Enhance safety in maritime operations with automatic risk detection.
  • Improve risk management in busy spaces using existing CCTV.
  • Prevent trespassing and self-harm in transport infrastructure.
  • Ensure worker wellbeing in manufacturing and industrial supply chains.
  • Detect graffiti and vandalism automatically.

FAQs

  • Does Sensing Feeling store or record any images?
    No, the system processes video in real time without recording or storing images, unless required by law and with end-user consent.
  • Can the platform identify individuals?
    No, the system is designed to detect people and objects but does not identify or track individuals, respecting end-user privacy.
  • What hardware is needed to run the software?
    The software runs on commercially available off-the-shelf (COTS) edge devices and can also integrate with existing CCTV systems.
  • Can I train a custom detection model?
    Yes, Sensing Feeling offers SensorMODEL™ service where custom computer vision models can be trained for specific needs using sample images provided by the customer.
  • How is data accessed?
    Data points are available via a web console and a real-time web API for integration into enterprise BI, reporting, and control systems.

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