Abstract. The architecture concept of a high-speed low-power analogue vision chip, which performs low-level real-time image algorithms is presented. The proof-of-concept prototype vision chip containing 32 × 32 photosensor array and 32 analogue processors is fabricated using a 0.35 µm CMOS technology. The prototype can be configured to register and process images with very high speed, reaching 2000 frames per second, or achieve very low power consumption, several µW. Finally, the experimental results are presented and discussed.

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The paper presents an operational transconductance amplifier (OTA) with low transconductance (0.62–6.28 nS) and low power consumption (28–270 nW) for the low-frequency analog front-ends in biomedical sensor interfaces. The proposed OTA implements an innovative, highly linear voltage-to-current converter based on the channel-length-modulation effect, which can be rail-to-rail driven. At 1-V supply and 1-Vpp asymmetrical input driving, the linearity error in the current-voltage characteristics is 1.5%, while the total harmonic distortion (THD) of the output current is 0.8%. For a symmetrical 2-Vpp input drive, the linearity error is 0.3%, whereas THD reaches 0.2%. The linearity is robust for the mismatch and the process-voltage-and-temperature (PVT) variations. The temperature drift of transconductance is 10 pS/°C. The prototype circuit was fabricated in 180-nanometer CMOS technology.

In this paper a survey of analog application specific integrated circuits (ASICs) for low-level image processing, called vision chips, is presented. Due to the specific requirements, the vision chips are designed using different architectures best suited to their functions. The main types of the vision chip architectures and their properties are presented and characterized on selected examples of prototype integrated circuits (ICs) fabricated in complementary metal oxide semiconductor (CMOS) technologies. While discussing the vision chip realizations the importance of low-cost, low-power solutions is highlighted, which are increasingly being used in intelligent consumer equipment. Thanks to the great development of the automated design environments and fabrication methods, new, so far unknown applications of the vision chips become possible, as for example disposable endoscopy capsules for photographing the human gastrointestinal tract for the purposes of medical diagnosis.