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Problem:
Counting on production lines is an essential task for the industry, as there must be quality control and control over the number of products leaving the conveyor belts. For Industry 4.0, the challenge is to automate this activity, eliminating from the equation the risks involving the use of human labor, since the counting routine requires extreme attention. Considering that this is a mechanical and repetitive activity, it is natural that errors occur due to fatigue, tiredness, and distraction.
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Solution:
Through Computer Vision and Machine Learning technology, customized and tailored to each company's specific problem, our solution ensures automation through algorithms programmed to process and interpret images received directly from production lines, according to the demands of the industrial sector.
Benefits:
It is possible to count all items on a conveyor belt, even on a large scale, and define an ideal number of units to be packaged or separated, avoiding inaccuracies that generate an excess or shortage of units in a shipment. Currently, the counting system is done by sampling and based on a manual estimate, which leads to inaccuracies. Our solution has a 99% accuracy rate and guarantees the inspection and monitoring of 100% of the batches, in addition to generating regular and updated statistical and historical reports.
Fabio Caraça
Fábio Caraça is the Chief Growth Officer at Pix Force. He leads Pix Force's transformation into a scalable SaaS operation, combining strategic vision, culture, and high-impact execution.
