Its applications include product classification, detection of assembly errors, color recognition, and identification of surface damage or illegible printing. Local image processing eliminates the need for a continuous connection to external servers, facilitating a rapid response to detected irregularities.
According to Paweł Sióda, Senior Product Manager at TME, compact platforms like Arduino UNO Q allow the development of demonstrators and pilot projects without initially resorting to complex and expensive industrial vision systems.
Integration with cameras, sensors, and industrial systems
An Arduino UNO Q-based visual inspection station can incorporate a compatible camera, LED lighting, and a presence sensor to detect when a part needs to be inspected. The system can also include communication modules to transmit sorting results to operators or industrial platforms. Compatible systems for this type of architecture include programmable logic controllers (PLCs), SCADA platforms, and manufacturing execution systems (MES).
The Arduino UNO Q features Wi-Fi and Bluetooth connectivity, simplifying its integration into networks and connected applications. The station comes complete with the usual power supplies, wiring, and connectors necessary for its operation.
Edge AI pilot projects for quality control
TME proposes using the Arduino UNO Q as a starting point for developing proof-of-concept (PoC) projects for automated visual inspection. Engineers can begin with a single station, evaluate the accuracy of the AI models, and later expand the solution to other production processes. This approach allows for the gradual introduction of machine vision tools into industrial environments. Furthermore, AI systems can handle repetitive inspection tasks, while operators focus on verifying flagged parts and analyzing potential anomalies.
Availability of Arduino UNO Q at TME
TME offers a catalog of over 1.5 million products from approximately 1,500 manufacturers, including the components needed to develop a visual inspection demonstrator based on the Arduino UNO Q. The platform is available in the distributor's catalog in 2GB and 4GB versions.
The demonstration will take place in Hall B5, Stand 361, at the electronics fair 2026.
