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Joint release from Smart Eye and OmniVision which appears to announce the mating of the 2.1MP OV2312 RGB-IR sensor with Smart Eye’s latest interior sensing algorithms. This aligns with my analysis of a trend towards an “imaging signal chain” and system-level thinking, where the image sensor and imaging algorithms are considered together, to maximize core signal availability. The days of combining any image sensor, any IR emitter, any image processor with any imaging software and hoping for the best are now long gone. This change creates significant barriers to entry for new suppliers and late-comers to the #DMS #OMS party.
What is unclear is how the announcement fits with the acquisition of Affectiva just two months ago, “to bring to market automotive-grade Interior Sensing #AI better and faster than the competition.” Seeing Machines announced its solution nine months ago in October 2020 (Seeing Machines Ltd to develop all occupant monitoring system for vehicles) and already has won a production contract for occupant monitoring, possibly for Fisker using Magna as tier one.
One interpretation could be that a combined Affectiva/Smart Eye offering will be the next-generation solution for interior sensing. This raises the question of what Seeing Machines has planned for its next-gen offering, and specifically what it can achieve using its NPU-based Occula processor. We will evidently hear more about those plans in time. We already know the trend in interior sensing is towards 5MP image sensors, placing much higher demands on the image processor.
If you wish to discuss this analysis in further detail, I can be booked for telephone-based advisory and consultancy services on both GLG and Guidepoint. Just ask for me by name.
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