Once again the NeuroMem neurons help solve an industrial application with simplicity and accuracy. This time they are trained to recognize the acceptable aspect of olives and their proper alignment in a pocket to be pitted and stuffed, thus improving the quality of the goods and reducing waste. This collaborative study involves four major universities in Spain and is published in the Special Issue “IoT Technologies and the Agricultural Value Chain” of the Sensors journal.
Download the paper.
Note that the CM1K chip mentioned in the paper has reached its end of life, but its successor, the NM500, is composed of the same neurons and controlled with the library of registers. A firmware version of the neurons is also available for FPGA.