Manufacturing is becoming increasingly automated, and sensors are fundamental to capturing and analyzing tolerances and quality. AI has also become a standard component of inferences and automated decisions.
The need for machine learning to add classification categories without disrupting output is critical.
Akida’s high performance to support sensory inputs in real-time with remarkable energy efficiency, and continuous on-chip learning, bring optimized productivity, reduced downtime, and improved security to your factory floor.
System health monitoring is another critical use case that leverages BrainChip’s Akida processor IP. Any piece of machinery produces vibrations or sound representing a healthy state, which changes over time as the equipment ages or is damaged. While the human senses may not be able to distinguish minor changes in sound, smell or that visually indicate an impending problem, the Akida Edge AI processor can provide early diagnostics through real-time analysis of sensor data on issues such as reducing human-related errors and labor costs, preventing machinery deterioration in real-time and set up preventative maintenance before catastrophic failure. This can save the industry billions lost due to unplanned downtime, and further reduce maintenance cost.