Monthly Archives: September 2021

INDUSTRIAL QUALITY CONTROL PROCESS BY TPSH

100% automatic quality control that combines speed, cost and deep learning algorithms

The use of AI has been growing across the industrial automation space for several years now. By 2035, AI-powered technologies could inscrease labor productivité by up to 40% in manufacturing. 

One application with a big potential to benefit from AI is quality control based on video analytics. This technology is called cutomatic optical inspection and it improves quality control in terms of speed, latency and costs. It is a completely automated and cobotic process based on deep learning algorithms that have been trained to recognize specific elements on a product. 

A simple and intuitive process.

This video examines the process to detect faults on a circuit board based on computer vision. The operator monitors the process on a desktop application and selects the right program with pre-selected parameters. These parameters include different elemets like the positioning of cables, the cleanliness of memory slots, the presence of CPU protection and defects on the panel, the presence of capacitors, USB plugs and screws and the series and article code. Then, the operator launches the operations. The automatic cobot begins to move to a position above the circuit board, emitting a sequence of flashes as it moves. Each flash captures a picture which is stored as data. This data is transmitted in real time to the BullSequena Edge serveur (Atos) which processes the data.

Powerful artificial intelligence algorithms are developed by TPSH doctors in image processing.

These quality control algorithms are unique for each product. After one minute, the session is over and the cobot retracts. At the end of the analysis process, the results are collected in the report. The report summarizes any defects and the conformiy of the different elements examined. The entire operation is carried out in an industrial environment offering a flexible, quick and efficient quality control process to any industry.
Summary of control steps:
- Step 1 : Monitoring application configuration
- Step 2 : Play the quality control
- Step 3 : Image generation & data processing
- Step 4 : Report generation

Industrial quality control process powered_TPSH

Ask us for more technical information by mail : info@tpsh.fr or by phone +331 69 11 91 91

Back to previous articles.

AUTOMATIC QUALITY INSPECTION SYSTEM – TYPES 1|8 EXAMPLES

Automated and cobotised cell to control the assembly of aeronautical accessories.

Some characteristics of this autonomous technology :

AUTOMATIC QUALITY INSPECTION SYSTEM - TYPOLOGIES_EXAMPLES_TPSH


- Production mode
: automatic control – loading up to 6 parts – 400 part numbers,
- Learning mode
: construction of a range (creation / validation of trajectories + image acquisition + installation of control points),
- Real-time monitoring of the control cycle
,
- Each image processing has tools allowing the operator to define, adjust and verify a control
(point, circle, polygon, vector),
- Creation/Validation of a trajectory with a cobot or robot
,
- Image acquisition module
,
- Image processing module
(selection of the type of control in a drop-down menu, tool to set up an algorithm, test on the image: display of the result of the algorithm, help to guide the operator on the actions to be carried out),

Examples of detection by image processing:

– CONNECTORS : ¼ turn connector position – locking – Pin/key angles – PIN number – twisted pin,
– DETECTION OF VARNISH OR COLOURED PAINT ON THE ELEMENT
,
– TIGHTENING SCREWS, NUTS, WASHERS: check tightening, presence, orientation, loosening,
– BRAKE WIRE
: presence – orientation – loosening,
– FLUX ARROW
: presence - orientation,
– ORIENTATION COVER BODY
: presence,
– HUMMOCK
: check,
– OCR READING,
– PIPES,
– SUPPORTS,

For more information, ask us for technical information by email : info@tpsh.fr or by phone at 01 69 11 91 91

Back to previous articles.