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Analog Devices optimizes processors for embedded vision

March 28, 2012 | Christoph Hammerschmidt | 222902147
Analog Devices optimizes processors for embedded vision Advanced Driver Assistant Systems (ADAS), industrial machine vision applications and surveillance cameras have one thing in common: They have to process large amounts of image data in real-time. Analog Devices has developed a new series of its Blackfin processor family that has the capability to greatly speed up these processing steps.
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The new dual-core processor types BF608 and BF609 are equipped with a powerful image processing accelerator, the Pipelined Vision Processor (PVP). This device enables the processor to run up to five concurrent vision algorithms. In an ADAS application, these could be, for instance, pedestrian detection, collision warning, lane detection, traffic sign recognition and automatic high beam / low beam switching. In addition, the device can estimate the distance of other objects - not by measuring it but by applying plausibility algorithms to moving objects.

Fig. 1: The performance of the Pipelined Vision Processor enables ADI's new BF60x processors to perform multiple video analysis tasks concurrently

This high data processing capability along with the extended operating temperature range of up to 105C required for automotive applications and hardware-based functional safety according to ISO 26262 makes the two new chips ideal for automotive deployment, explains Peter Voss, ADAS products marketing manager for Analog Devices GmbH. The market environment seems to be favorable: While currently ADAS are sold as optional equipment and in relatively moderate numbers, this is likely to change in the midterm. The reason is that the EuroNCAP car safety performance assessment program has significantly increased its requirements for pedestrian protection. Cars that do not meet these requirements cannot achieve the best rating anymore.

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