Deep Capture has a wide range of applications. These include the detection of glass gobs on a moving conveyor. The high opacity of these products usually makes it impossible to contrast the product on its support, and this reflection can distort the visual rendering of the gobs as they advance on the conveyor.
Deep Capture also makes it possible to detect glass vials positioned in different types of container, enabling a single configuration to detect more than fifty references of different shapes, despite the heterogeneity of the containers carrying them.
Sorting of food parts such as chicken sleeves can also be carried out at a rate of 5,000 parts per hour. The system can detect defects such as broken bones, feathers, haematomas or traces of blood, so as to remove the part from the circuit before it is prepared.
The joinery can also be checked thanks to Deep Capture, which is able to classify various anomalies such as cracks, missing material or black knots. The system operates in deep learning mode at a rate of 30cm/s.
A machine is also available to detect glass and other packaging. This machine has 8 cameras, each with a 25fps video stream, to work at a rate of 120 vials per hour.
Deep Capture ‘s capabilities are only just beginning to be exploited, and can be adapted to a very wide range of industries. Our expert teams can automate every scenario, so don’t hesitate to ask for a demonstration.