Safety Mind offers an industrial AI platform that uses existing surveillance cameras to detect and alert on unsafe workplace conditions in real-time. It analyzes video feeds to identify safety protocol deviations, sending immediate alerts to supervisors and providing actionable insights for continuous safety improvement.
Funding
$100K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations face significant operational disruptions and financial losses due to workplace accidents and safety breaches. Existing safety monitoring methods are often manual, reactive, and lack real-time visibility into hazardous conditions, hindering proactive risk mitigation.
Solution
Safety Mind provides an industrial AI platform that leverages existing surveillance camera infrastructure to automatically detect and alert on unsafe conditions in real-time. The system analyzes video feeds to identify deviations from established safety protocols, such as personnel in restricted zones or improper handling of materials. Alerts are dispatched to supervisors via SMS and email, enabling immediate intervention. Incident data is logged and processed to generate actionable insights through a centralized dashboard, facilitating continuous improvement of safety management systems and ensuring operational continuity.
Target Audience
The platform targets industrial organizations and enterprises seeking to enhance workplace safety, reduce accident rates, and ensure operational continuity through automated risk monitoring and AI-driven insights.
Features
- Real-time detection of hazardous conditions using computer vision and AI analysis of existing CCTV feeds.
- Configurable risk factor identification tailored to specific industry standards and operational environments.
- Automated alert generation and dispatch to designated personnel via SMS and email.
- Centralized data aggregation and visualization on a web-based dashboard for performance monitoring and decision support.
- Incident logging and historical data storage for root cause analysis and safety protocol refinement.
- Compatibility with standard IP surveillance cameras (minimum 4 MP resolution).
- Deployment options for cloud-hosted or on-premise server configurations.