The company provides computer vision AI solutions that integrate with existing CCTV infrastructure to proactively identify potential safety hazards in industrial environments. By analyzing video feeds, the system generates alerts to help safety teams prevent accidents and improve workplace safety. This AI-powered monitoring enhances existing security systems with intelligent hazard detection.
Funding
Funding not disclosed
Founders
Product
Problem
Many industrial environments rely on manual monitoring of CCTV systems, which is prone to human error and can lead to delayed hazard detection and incident response. This reactive approach increases the risk of workplace accidents, injuries, and non-compliance with safety regulations.
Solution
The Disrupt Labs provides computer vision AI solutions that integrate with existing CCTV infrastructure to proactively identify potential safety hazards in industrial environments. By analyzing video feeds in real-time, the system generates alerts for safety teams, enabling them to prevent accidents and improve workplace safety. The AI-powered platform monitors for PPE compliance, housekeeping issues, area controls, forklift safety, and emergency situations. This proactive hazard detection ensures safety compliance, efficient incident response, and data-driven decision-making, reducing human error and enhancing operational efficiency.
Target Audience
The primary customers are safety teams and HSE managers in industrial environments seeking to enhance workplace safety, ensure regulatory compliance, and reduce the risk of accidents.
Features
- AI-powered video analytics for 24/7 monitoring of industrial environments
- Real-time alerts for safety violations via email, dashboard, and WhatsApp
- PPE detection, including helmets, vests, boots, masks, and gloves
- Forklift control module to monitor safe distances, parking, and aisle adherence
- Area control module for restricted access, operator presence, and worker counts
- Emergency situation module for person detection, overcrowding, and evacuation monitoring
- Housekeeping compliance module to ensure clear emergency exits and walkways
- Other safety alerts for machine guard presence, electrical panel closures, and stairrail usage
- Customizable dashboards for real-time hazard detection and compliance tracking
- Convolutional neural networks and transformer models for enhanced accuracy