4 mm lens:
0.5 m distance: 0.44 m x 0.45 m
1.0 m distance: 1.04 m x 0.90 m
2.0 m distance: 2.24 m x 1.80 m
3.0 m distance: 3.44 m x 2.70 m

6 mm lens:
0.5 m distance: 0.24 m x 0.30 m
1.0 m distance: 0.64 m x 0.60 m
2.0 m distance: 2.24 m x 1.80 m
3.0 m distance: 2.24 m x 1.80 m

4 mm lens:
0.1 mm @ 0.5 m
0.4 mm @ 1.0 m
1.5 mm @ 2.0 m
3.3 mm @ 3.0 m

6 mm lens:
0.06 mm @ 0.5 m
0.3 mm @ 1.0 m
1.0 mm @ 2.0 m
2.2 mm @ 3.0 m

Artificial Intelligence and 3D Vision for Fruit Sorting

Agricultural products can vary greatly in shape and color, which poses a great challenge for traditional image processing methods. One example is the recognition and sorting of fruit.

To master this task, Basler has teamed with the software provider Data Spree to develop a vision solution for the detection and classification of individual fruits, using 3D data as raw material. The spatial information gained during the teaching of the neural networks creates a robust real-time solution for fruit sorting.

Time-of-Flight Technology Meets Labeling Robot

Shipping processes at global logistics service providers are characterized by a particularly high throughput of goods. At the same time, the market demands ever-greater flexibility in logistics, which in turn requires high-performance labelling solutions. Shipping labels are an important component of such solutions: They make logistics processes possible in the first place and contain information such as the customer’s address, company logo, sender, barcodes and consignment number.

To meet these requirements, Basler, together with Vanomation Inc., a leading supplier of industrial labeling machines, has developed a system for printing and applying shipping labels in warehouses and distribution centers that handle large quantities of packages on a daily basis.

The Basler blaze Time-of-Flight Camera for 3D Vision Solutions in Logistics

Freight dimensioning