The startup offers a video analytics platform that utilizes real-time image processing and machine learning to monitor production lines and detect safety risks. By providing customizable dashboards and immediate updates, the platform enhances industrial performance, reduces accidents, and improves quality control.
Funding
$950K 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
Many industrial operations struggle with inefficiencies, safety hazards, and quality control issues due to a lack of real-time, comprehensive monitoring. Traditional methods often require manual inspections and are prone to human error, leading to delayed detection of critical issues and increased operational costs. Furthermore, ensuring employee safety and adherence to safety protocols can be challenging without continuous oversight.
Solution
Stepps offers a video analytics platform that leverages real-time image processing and machine learning to provide continuous monitoring of industrial processes. The platform connects to existing CCTV infrastructure and analyzes video feeds to identify safety risks, monitor production line performance, and detect quality defects. Customizable dashboards provide managers with real-time insights, enabling them to address bottlenecks, standardize routines, and improve overall operational efficiency. By automating monitoring and analysis, Stepps reduces the need for manual inspections, minimizes accidents, and enhances quality control.
Target Audience
Stepps primarily targets industries, including manufacturing and agribusiness, seeking to improve operational efficiency, reduce accidents, and enhance quality control through AI-powered video analytics.
Features
- Connects to existing CCTV systems for rapid deployment
- Real-time monitoring of PPE (Personal Protective Equipment) usage
- Accident detection and alert generation for immediate response
- Identification of proximity to dangerous objects (e.g., overhead cranes)
- Recognition of shape, dimensions, and visual defects for quality control
- Analysis of human actions to evaluate routine compliance and identify bottlenecks
- Biometric facial recognition for secure access control and activity monitoring
- Customizable dashboards for real-time performance and safety insights
- Edge processing for enhanced data security and privacy