AndonCloud

Modern production lines require not only process automation, but also precise monitoring. One of the key elements is piece counting – both in the food and industrial sectors. Traditional manual methods involve the risk of errors, delays, and a lack of transparency. Sensor solutions, on the other hand, work well for simple shapes and orderly products, but lose their effectiveness with irregular items.

That is why Computer Vision technology is increasingly being used. Artificial intelligence-based systems analyze images in near real time and allow for precise counting of even irregular objects, such as fruit or products moving in a disorderly manner. All that is needed is a camera mounted on the production line to obtain reliable data on the number of items.

The advantage of this solution is not only its accuracy, but also its low implementation threshold. Cameras can be installed without complex sensor infrastructure, which reduces costs and implementation time. In addition, the piece counting module can be integrated with MES or ERP systems, providing comprehensive control over the production process.
This gives operators and production managers full transparency – the number of items is visible on the dashboard in real time. The system can also be extended with additional functions, such as flow rate analysis or quality defect detection.

AI-based piece counting thus becomes not only a tool for production control, but also the foundation for further digitization and process optimization. Companies gain greater efficiency, reduce losses, and can respond more quickly to changes in production conditions.