The autonomous supply chain robot SOTO from Magazino is designed for industrial and production environments. Its intelligence enables it to adapt to changing demands, making it capable of replacing traditional picking carts or tugger trains entirely or working alongside them. Equipped with a clever gripping system, SOTO can handle an increasing variety of products by carrying different small loads from various positions and heights.

Thanks to 3D cameras, SOTO can perceive its surroundings and autonomously pick goods.

What challenges does this 3D robot vision application face?

The main challenges include distance requirements and the nature of target objects. With relatively short distances between the camera and target—0.1 m to 1.5 m—a large field of view is necessary for reliable detection, especially of larger objects like boxes in close proximity.

Compact camera size is also important due to space constraints.

Object surfaces vary greatly, ranging from low-textured to highly reflective or light-absorbing materials.

Detecting narrow edges and managing overlapping fields of view among multiple robot cameras presents another challenge. Here, precise synchronization between several cameras is essential.

The robotics 3D vision solution

Basler’s ToF 3D camera blaze-101 provides robust and detailed depth information for the autonomous supply chain robot SOTO. This allows for precise determination of box positions, orientations, and dimensions.

For this task, the cameras’ depth data is segmented and fused. This image processing, along with additional tasks, runs on powerful central computers.

The GigE interface and robust M12 connectors enable high transmission rates through cables with drag chain capability. Versatile software interfaces simplify integration into higher-level automation systems.

Basler’s ToF 3D camera blaze-101 offers a compact, robust design suitable for industrial applications. It includes an integrated light source and lens for easy startup. The precise and accurate 3D depth data makes it ideal for factory automation, logistics, and robotics tasks.

Last Updated: 2025-09-04 22:09:22