Logistics Safety AI: Difference between revisions
Created page with "== Event Gates Logistics Safety AI == === Features === === Risk assessment === === Solutions === == Use Cases == Category:Safety AI" |
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== Event Gates Logistics Safety AI == | == Event Gates Logistics Safety AI == | ||
'''Event Gates Logistics Safety AI''' is an advanced industrial vision system designed to enhance safety in busy logistics environments. By combining deep-learning image analytics with real-time monitoring, it detects potential hazards—such as collisions between forklifts, trucks, pedestrians, or falling loads—and intelligently triggers vehicle deceleration before an accident occurs. The system also ensures compliance by monitoring the use of personal protective equipment (e.g., helmets, hi-vis vests) and vehicle safety measures like curtains and wheel chocks, automatically logging safety violations and issuing notifications as needed. | |||
The solution is tailored to high-risk zones like loading docks, sideloading bays, and high-rack corridors, where precise coordination between people, vehicles, and equipment is crucial. It integrates seamlessly with existing infrastructure—such as vehicle restraint systems and automated alerts—without requiring wearable tags or manual intervention. This enables organizations to proactively manage workplace safety, reduce accident risk, and ensure operational continuity—all while collecting valuable video and event data for audit and continuous improvement. | |||
=== Features === | === Features === | ||
Logistics Safety AI is a [[:Category:VIS|VIS]] solution therefore it has all [[:Category:VIS Features|VIS features and functions]] where applicable: | |||
* Disconnected solution, deployed to the edge devices on the crane trolley or bridge, does not need internet or corporate network access. | |||
* Proprietary high performance person detection model Event Gates PF, specially trained for top down view in industrial environments. | |||
* [[Vislet Model Fusion]] allows detections of multiple models interplay together. | |||
* Built-in trustworthiness features: [[Heartbeat]], [[Short Term Memory (STM)|Short Term Memory]], [[IPIO#Emergency Preset|Emergency Preset]] of [[IPIO]]. | |||
* [[Logging]] features including [[System Logs|system logs]], [[Event Logs|event logs]] and optional emailing features. | |||
* All flexibility of [[Regions of Interest (ROI)|regions]](ROI), including polygons and multiple regions. | |||
* Built-in [[IPIO#Mute Input and Preset|mute]] with [[IPIO]]. | |||
* Tracking | |||
* Person counting helps secure unmonitored areas. | |||
=== Risk assessment === | === Risk assessment === | ||
Revision as of 14:34, 24 July 2025
Event Gates Logistics Safety AI
Event Gates Logistics Safety AI is an advanced industrial vision system designed to enhance safety in busy logistics environments. By combining deep-learning image analytics with real-time monitoring, it detects potential hazards—such as collisions between forklifts, trucks, pedestrians, or falling loads—and intelligently triggers vehicle deceleration before an accident occurs. The system also ensures compliance by monitoring the use of personal protective equipment (e.g., helmets, hi-vis vests) and vehicle safety measures like curtains and wheel chocks, automatically logging safety violations and issuing notifications as needed.
The solution is tailored to high-risk zones like loading docks, sideloading bays, and high-rack corridors, where precise coordination between people, vehicles, and equipment is crucial. It integrates seamlessly with existing infrastructure—such as vehicle restraint systems and automated alerts—without requiring wearable tags or manual intervention. This enables organizations to proactively manage workplace safety, reduce accident risk, and ensure operational continuity—all while collecting valuable video and event data for audit and continuous improvement.
Features
Logistics Safety AI is a VIS solution therefore it has all VIS features and functions where applicable:
- Disconnected solution, deployed to the edge devices on the crane trolley or bridge, does not need internet or corporate network access.
- Proprietary high performance person detection model Event Gates PF, specially trained for top down view in industrial environments.
- Vislet Model Fusion allows detections of multiple models interplay together.
- Built-in trustworthiness features: Heartbeat, Short Term Memory, Emergency Preset of IPIO.
- Logging features including system logs, event logs and optional emailing features.
- All flexibility of regions(ROI), including polygons and multiple regions.
- Built-in mute with IPIO.
- Tracking
- Person counting helps secure unmonitored areas.