The plant wants to improve several aspects of alternative fuel quality control. Composition, moisture content, and particle size makes it difficult to obtain a reliable real-time data, as manual analyses cause delays. In addition, the process of accepting or rejecting trucks can sometimes be slow. Using poor-quality alternative fuel is that production can be affected by temperature fluctuations in the furnace. The material they receive for fuel can vary in composition, and both seasonal changes and the lack of real-time analysis of fuel from suppliers can affect its quality.

AI-Alt Fuel Cement incorporates high resolution cameras and controlled lighting; it works with our AI platform to identify fuel characteristics such as moisture, agglomeration, and particle size for RDF and impurities for tires. 

The deployment consisted of creating a checkpoint to analyze waste without interfering with operational processes. 

The product is installed in the fuel reception area, so that each truck is scanned upon arrival and the results are processed automatically. Our AI-Alt Fuel Cement compares the quality indicators with the thresholds defined by the plant and decides whether to accept or reject the material instantly. 

Pixelabs AI platform increase the size of the samples analyzed at the control point, maximize the automation of the inspection process and improve supplier quality. In compliance with the specifications and metrics established after deployment, we list the main advantages obtained:

A/ Real-time decisions: ensuring compliance while maximizing the calorific value potential of the fuel.

B/ Our technology ensures that alternative fuels are used with maximum energy value.

C/ Structured and analytical database: fuel quality can be compared by supplier, allowing risks to be anticipated.