Title | ||
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An Adaptive Frame Image Sensor with Fine-Grained Power Management for Ultra-Low Power Internet of Things Application. |
Abstract | ||
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An adaptive frame rate imager suitable for integration in a wireless IoT device is developed. Fine-grained power management working with adaptive frame functionality reduces power consumption proportional to the frame rate. An analog processing chain employing telescopic OTA with a common mode shift technique is developed to achieve a low power design while maintaining 9-bit accuracy noise and settling error. The OTA operates in a time-sharing DDR regime that halves the power consumption. A hierarchical column multiplexer and variable capacitance buffer are introduced to minimize the capacitive load of the OTA. The imager consumes 1.51 mW in 15-fps mode, reducing power by 33% compared with the maximum frame rate of 51 fps. A 372 x 316, 5-mu m pixel array, readout circuit, ADC, and LDO are fully integrated into a 2.86 mm x 2.58 mm chip to reduce the dimensions of an image acquisition system. |
Year | Venue | Keywords |
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2018 | Proceedings of the European Solid-State Circuits Conference | Imager,Adaptive frame,LDO,Battery,IoT |
Field | DocType | ISSN |
Power management,Image sensor,Computer science,Power factor,Multiplexer,Electronic engineering,Chip,Common-mode signal,Frame rate,Analog signal processing | Conference | 1930-8833 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
14 |
Name | Order | Citations | PageRank |
---|---|---|---|
M. Osawa | 1 | 0 | 0.34 |
S. Hiraide | 2 | 0 | 0.34 |
S. Suzuki | 3 | 0 | 0.34 |
H. Kato | 4 | 0 | 0.34 |
K. Tamiya | 5 | 0 | 0.34 |
Y. Harada | 6 | 0 | 0.34 |
Kuba Raczkowski | 7 | 74 | 9.26 |
J. L. Bacq | 8 | 0 | 0.34 |
Peter Van Wesemael | 9 | 20 | 5.42 |
mingchung liu | 10 | 19 | 5.50 |
Annachiara Spagnolo | 11 | 9 | 3.05 |
K. De Munck | 12 | 0 | 0.34 |
S. Guerrieri | 13 | 0 | 0.34 |
Jonathan Borremans | 14 | 221 | 30.47 |