Sensing Feeling Limited develops smart visual sensing technology that utilizes IoT edge processing and deep neural networks to monitor human behavior in real-world environments. Their solutions enhance safety and risk management by providing real-time analytics on crowd dynamics, worker compliance, and potential hazards in various settings, including construction sites and public venues.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle to efficiently monitor and manage safety and risk in real-world environments, particularly in complex or high-traffic settings. Traditional surveillance methods often lack the real-time analytics needed to proactively address potential hazards and ensure compliance with safety protocols. This can lead to delayed responses to incidents, increased risk of accidents, and difficulty in optimizing operational efficiency.
Solution
Sensing Feeling Limited offers a smart visual sensing platform that uses IoT edge processing and deep neural networks to provide real-time analytics of human behavior and environmental conditions. The platform analyzes video feeds from existing CCTV systems or portable sensors to detect and classify objects, count people, measure crowding densities, and identify safety violations. This enables organizations to create a digital twin of their physical space, allowing them to proactively manage safety risks, optimize traffic flow, and improve overall operational efficiency. The system is designed to respect end-user privacy by not recording images or identifying individuals, except where consent is explicitly granted.
Target Audience
The primary customers are organizations responsible for managing safety and risk in construction, manufacturing, transportation, public venues, and other complex environments.
Features
- Real-time object detection and classification using deep learning algorithms
- People counting and flow path analysis for optimizing traffic management
- Anomaly detection to identify hazards and unusual events
- Monitoring of compliance with PPE (Personal Protective Equipment) rules
- Detection of trespass and self-harm behaviors in infrastructure locations
- Measurement of crowding densities and queuing metrics in busy locations
- Generation of motion and flow path maps for visualizing movement patterns
- Integration with existing CCTV systems via a web API
- Customizable alerts and notifications for proactive risk management