3D ToF Smart Camera Success Cases
Optimizing Transport Efficiency -
Obstacle Detection and Avoidance

Automated Warehouse and Its Challenges

 
To protect AGVs/AMRs from collision requires real-time calculation of various data, including object positions, distance, and angles. With lighting differences between areas and complex human flows, how to ensure the smooth operation of workers, machines and goods is of utmost importance.
 

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Machine Vision Helps AGVs/AMRs Avoid Obstacles and Collisions to Ensure 24/7 Operation

Automated vehicles need to "see" in the dark to prevent collisions. Delta's 3D ToF Smart Camera DMV-T adopts Time of Flight (ToF) technology to obtain depth data without the interference of ambient light. Even in spaces with highly different lighting conditions, the DMV-T ensures 60 quality images per second.

With Delta's Machine Vision Software DIAVision, the DMV-T can detect if there are obstacles in the AGV path. When obstacles are detected, the software triggers alerts based on different hazard levels, and slows or stops the AGVs/AMRs to avoid obstacles or wait for operators to clear the obstacles before resuming course.

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Obstacle Detection and Avoidance Solution
(3D ToF Smart Camera DMV-T + Machine Vision Software DIAVision)

 

	ToF Provides Ambient Light Immunity and Precise 3D Imaging  Adopts Time of Flight (ToF) technology to calculate distance and depth by measuring the time taken by infrared to travel between the camera and the target. ToF enables the DMV-T to conduct precise, high resolution 3D imaging in environments with very low light or high contrast lighting.
	Configurable Alert Zone and Hazard Level Setting DIAVision allows users to set the AGV/AMR alert zone within 6 meters of working range. The DMV-T supports dual signal output and event trigger setting for different hazard levels. When objects enter the alert zone, the DMV-T issues alerts and slows or stops the AGVs/AMRs to avoid obstacles or collisions.
	Real-Time Imaging and Stable Transmission Even on a moving forklift AGV, the DMV-T can capture 60 images per second and analyze them with its built-in Arm dual-cortex processor. The isolated I/O channels ensure stable transmission without interference for detection and movement triggers.

 

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