Sigmavision

Supermarket tote inspection

The problem

When used supermarket totes are returned to the distribution centre they are required to be de-nested and put through a washing cycle. Totes are then restacked ready for re-use. This is currently a costly, manual operation with little control over the orientation and sequence of up to 15 different tote designs passing along a single conveyor line. This may lead to inadequate washing and a risk that different tote designs are restacked together forming an unstable column. Tote identification using bar code labels is not possible in wet processes.

 

The solution

Sigmavision has developed a laser based tote identification system that may be robot mounted or mounted above a conveyer as part of an automated line. The system is able to generate and complete 3D profile of a tote either by the robot moving the laser sensor over a tote stack or the conveyor transporting individual totes beneath the laser sensor. In both case a 3D profile of the tote is obtained using laser sheet of light technology that is fast (200Hz) and is independent of ambient light. Read more

 

A dedicated software application acquires data from the laser sensor and couples these with positional data from a rotary encoder. Special software algorithms remove sources of measurement error and generate a 3D height map of the tote. The acquired image is then compared with a pre-programmed library of tote designs to identify the tote, determine if any damage has occurred and identify the position of bail arms and the tote orientation. Results are displayed on a graphical user interface and an output provided to the conveyor PLC for tote sorting purposes.

 

System features

Laser sensor fully protected by a rugged housing.

Real-time display of results.

Statistical reporting and network compatible.

Control I/O to the conveyor PLC.

Simple to set up, operate and maintain.

Typical line speed of 1m/sec.

Click on each image for a large version

Image

3D tote profile

Sigmavision - Reducing the cost of quality...

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