3D ToF Smart Camera Success Cases
Monitoring Retrieval Movement -
Forklift Speed Detection and Machine Learning

Challenges of Implementing AGVs

Forklift AGVs may encounter various challenges when tending parcels and goods among racks. When retrieving goods from racks, AGVs must check parcel presence, positions of pallet entry points, and whether retrieval is successful. Errors may significantly impact efficiency and even lead to accidents.

 

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Automated Learning Prevents Failed Retrieval and Consequent Accidents

Let machines watch and learn. When forklift AGVs retrieve goods, the 3D ToF Smart Camera DMV-T installed on the racks starts imaging and calculates the forklift movement speed and object displacement distance with the Machine Vision Software DIAVision to ensure successful retrieval.  Failed retrieval may damage goods and cause accidents.

Delta's machine vision solution can also learn and improve retrieval accuracy and efficiency by accumulating data in daily operations, such as the different sizes and shapes of pallets and racks, equipment status, and various retrieval scenarios.

   

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Retrieval Monitoring and Learning Solution
(3D ToF Smart Camera DMV-T + Machine Vision Software DIAVision)

 

	Real-Time Imaging and Processing DMV-T supports continuous imaging (60 fps) to acquire data of moving objects and calculate fork movement speed and object displacement distance with its built-in dual-cortex Arm processor and DIAVision.
	Enables Alert Setting and Event Trigger DMV-T supports dual signal output and event trigger setting for various scenarios. When fork movement speed is out of synchronization with object displacement distance, an alert is triggered and pauses retrieval.
	ToF Provides Ambient Light Immunity and Precise 3D Images Adopts Time of Flight (ToF) technology to calculate distance by measuring the time taken by infrared to travel between the camera and the target. ToF offers precise 3D images even among racks with low lighting.

 

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