Camera-guided AGVs / Autonomous Transporters

AGV camera control with absolute navigation

Logivations uses camera technologies to control autonomous transporters. The working area of the AGV is covered by cameras and is visualized as a 3D model in W2MO. Computers directly connected to the cameras identify all relevant transporters and objects in the area and send their precise positions to W2MO and control commands to the AGVs. Dynamic navigation allows any combination of automatic and manual movement. The AGV can continue driving automatically from any position. The AGV can also be tracked during manual handling.


People or other vehicles can be recognized and possible collisions are detected at an early stage and can thus be avoided. The legally required safety equipment is also on board.

Camera-guided AGV "Tom"

The first AGV driven by Logivations' innovative camera control system is the autonomous pick- and transportation cart "tom", developed in cooperation with A&A Logistik - a universally usable, autonomous transportation platform up to approx. 400 KG. Since the cart is autonomously driven with the help of camera technology, no lane guidance, interference-prone radio technology or other structural changes are required - it can navigate completely autonomously in a warehouse or production environment. The transporter can flexibly be adapted to different usage conditions. The following video shows "tom" in practise.


With its innovative drive and control technology, the AGV can operate in very narrow areas and can reach any storage location. The following picture shows the waypoints stored in W2MO, to which the AGV navigates in real time.

Tracking & tour optimization

After a one-time camera installation, any number of AGVs can be used in the warehouse and their positions can be located and tracked live in W2MO at any time. The picture shows a schematic camera setup for monitoring the entire warehouse. Employees can be made irrecognizable at all times by Logivations face recognition and pixelation.

Production & Distribution Network

Tracking in W2MO also allows numerous evaluations of the usage of different aisles. Possible bottlenecks can also be simulated, e.g. via heatmaps, for more information see Tracking.

The control computers can also use optimization servers with complex mathematical algorithms, which are integrated in W2MO. With the help of these algorithms, optimal tours and routes can be calculated, allowing the transporters to drive in the ideal picking sequence to minimize the workload in the entire warehouse.

Detailed descriptions can be found in the section Tour optimization with W2MO. The numerous interfaces in W2MO allow direct integration with the WMS (e.g. SAP), movement commands are transferred as direct and logical storage locations.

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