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26 REIMAGINING WHAT'S NEXT Case study Intel Neural Compute Stick 2 - Engineering Bench Talk ▲ a utomated analysis of images captured by cameras is a key part of our day-to-day lives that we might not often think about. The quality and affordability of the phones in our pockets, the cars we drive, and the food on our plates are made possible by machines using cameras for process automation, quality inspection, and robot guidance. Without this kind of machine vision, the high speed and high volume required for these tasks would make them too tedious and error-prone for humans to handle reliably or affordably. As this technology has developed, machine vision has gone from enabling basic inspection and sorting operations to more complex tasks, such as guiding manufacturing robots in automotive factories and enhancing surveillance applications. Still, there has been a hard limit on the capabilities of these systems because they rely on pre-established rules. For example, machine vision has been well suited to reading a standardized barcode or checking a manufactured part against specifications, but not to the subjective judgment of whether a piece of fruit is of export quality. Reimagined Machine Vision with On-Camera Deep Learning The FLIR ® Firefly ® camera adds a new level of intelligence to machine vision and image analysis supporting on-device inference with an Intel ® Movidius TM Myriad TM 2 vision processing unit.