Sharpsee provides an Integrated Operational Intelligence and Safety System (IOISS) that uses on‑board LiDAR, depth cameras and embedded AI to monitor forklifts, AGVs, cranes and workers in real time, generating proximity alerts and dynamic safety zones to prevent collisions. The platform also captures telemetry for automated route planning, fleet optimization, predictive maintenance and asset tracking, helping large‑scale warehouses, ports and construction sites reduce downtime, fuel use and injury risk.
Funding
Funding not disclosed
Founders
Product
Problem
Forklifts, automated guided vehicles (AGVs) and other industrial equipment frequently collide with pedestrians and each other, leading to injuries, equipment damage, and costly downtime. Operators also waste time on inefficient routing, manual asset tracking, and reactive maintenance, reducing overall productivity in warehouses, ports, construction sites, and similar environments.
Solution
Sharpsee delivers an Integrated Operational Intelligence and Safety System (IOISS) that combines 3D vision sensors, on‑board LiDAR, depth cameras, and embedded AI to monitor vehicle and worker movements in real time. The platform generates proximity alerts, dynamic safety zones, and automated route planning to prevent collisions and protect personnel. Simultaneously, it captures detailed telemetry for fleet optimization, predictive maintenance, and asset tracking, enabling operators to reduce fuel consumption, idle time, and material loss. All data are processed locally and streamed to a cloud analytics dashboard where managers can visualize performance metrics, configure safety parameters, and receive actionable insights.
Target Audience
Primary customers are operators of large‑scale warehouses, distribution centers, ports, construction sites, and manufacturing facilities that use forklifts, AGVs, or overhead cranes and need to improve safety and operational efficiency.
Features
- On‑board depth cameras and LiDAR providing continuous 3D perception of surrounding environment
- AI‑driven human detection and proximity alerts that create dynamic safety zones around forklifts, AGVs, cranes, and other equipment
- Automated route planning and performance analytics to minimize travel distance, fuel use, and idle time
- Fleet management tools that track vehicle health, schedule predictive maintenance, and allocate resources efficiently
- Real‑time volumetric measurement of bulk materials (e.g., steel coils, pallets) using LiDAR to prevent loading disputes and reduce waste
- Integration modules for warehouse management systems to enable live asset tracking and inventory visibility