AI for Indoor Asset Tracking with Computer Vision

Track forklifts, pallets, tooling, and high-value assets indoors using cameras, CV, and sensor fusion to improve utilization and reduce loss.

Indoor visibility is limited when GPS fails. Vision-based tracking with sensor fusion gives real-time location, reduces search time, and cuts theft or misplacement while feeding data to WMS and safety systems.

Speeding/unsafe driving detection in aisles.

Restricted area violations with evidence clips.

Task assignment based on nearest available equipment.

live demo · related simulation● LIVE

Safety events, badges (for proximity), traffic rules per zone.

RTSP camera streams with on-prem edge processing.

Sensor fusion of CV tracks with tags/IMU for robustness.

Frequently asked questions

What APIs or webhooks are available to integrate mysimulator.uk with WMS and CMMS systems for tasking?

APIs/webhooks to WMS/CMMS for tasking and history.

How can video snippets from incidents be used for audit trails and compliance exports?

Video snippets for incidents; audit and compliance exports.

Can I use the floor plan survey tool to strategically place cameras within chokepoints, and define specific zones?

The floor plan survey allows you to pinpoint camera locations in key areas like chokepoints, enabling targeted monitoring and the ability to create distinct zones for analysis.

How do I train and validate object detection and re-identification models using local assets and varying lighting conditions?

You can train and validate your object detection and re-identification models by utilizing your own assets within a controlled environment, allowing you to account for different lighting scenarios and ensure robust performance.

▶ Try it live

Everything above runs in your browser — open Gradient Descent Visualiser and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Gradient Descent Visualiser simulation

AI for Indoor Asset Tracking with Computer Vision | ML Knowledge Hub