Sensable is a vision AI platform that provides continuous monitoring of workforce interactions with machines and materials, utilizing advanced machine learning to analyze time studies and operational efficiency. The solution addresses issues of unplanned downtimes, process inefficiencies, and safety violations, enabling businesses to optimize throughput and reduce waste.
Funding
Funding not disclosed
Founders
Product
Problem
Many manufacturing and industrial operations lack real-time visibility into workforce interactions with machines and materials, leading to inefficiencies, unplanned downtime, safety violations, and missed throughput targets. Traditional time studies are labor-intensive, infrequent, and fail to capture the dynamic nature of complex operational environments.
Solution
Sensable provides a vision AI platform that continuously monitors workforce activities and machine interactions in both structured and unstructured environments. By analyzing video feeds from existing or new cameras using advanced machine learning, Sensable identifies bottlenecks, tracks adherence to best practices, and detects safety and ergonomic issues. The platform integrates with Manufacturing Execution Systems (MES) to correlate machine data with human actions, providing a comprehensive view of operational performance. This enables businesses to optimize processes, reduce waste, improve safety, and increase overall throughput.
Target Audience
Sensable targets manufacturing, industrial, and logistics companies seeking to improve operational efficiency, reduce downtime, enhance safety, and optimize workforce performance through real-time video analytics.
Features
- AI-powered video analytics for continuous monitoring of human activities and material movement
- Automated time studies with event correlation across multiple cameras
- Real-time tracking of assembly operations and adherence to best practices
- Safety and ergonomics analysis based on pose and task recognition, including REBA/RULA scoring
- Machine outage analysis with MES integration for identifying root causes
- Parts quality inspection using similarity, anomaly, and dimensioning analysis
- Activity catalog for robotic deployment analysis
- Custom model import for integrating existing AI/CV solutions