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Motion-Based Object Location on a Smart Image Sensor Using On-Pixel Memory.

Wladimir Valenzuela1, Antonio Saavedra2, Payman Zarkesh-Ha3

  • 1Department of Electrical Engineering, Faculty of Engineering, Universidad de Concepción, Concepción 4070386, Chile.

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|September 9, 2022
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Summary
This summary is machine-generated.

This study introduces a Smart Imaging Sensor (SIS) for efficient object location. The SIS uses smart pixels for analog frame differences and a digital coprocessor, reducing computational load for portable devices.

Keywords:
field-programmable gate arrayframe differenceintelligent sensormotion-basedobject detectionobject locationsmart image sensorsmart pixelvery large scale integrationvision chip

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Area of Science:

  • Computer Vision
  • Embedded Systems
  • Sensor Technology

Background:

  • Object location is vital for computer vision but demands significant resources, challenging low-power devices.
  • Integrating computation within imagers can reduce memory needs and leverage parallelism for object-location algorithms.

Purpose of the Study:

  • To present the architecture of a Smart Imaging Sensor (SIS) for efficient object location.
  • To enable object location using pixel-level parallelism and analog computation for reduced resource demands.

Main Methods:

  • Developed a custom smart pixel capable of analog domain frame differencing.
  • Implemented a digital coprocessor for morphological operations and connected components analysis.
  • Designed a smart-pixel array with on-pixel temporal difference computation using analog memories.

Main Results:

  • The SIS achieves high frame rates (3846 fps) on a 320x240 array.
  • The digital coprocessor locates objects in 0.614 µs with low power consumption (58 mW).
  • Achieved scalable fill factors (28% in 0.35 µm, 74% in 0.18 µm).

Conclusions:

  • The proposed Smart Imaging Sensor effectively performs object location with pixel-level parallelism.
  • The SIS architecture offers a viable solution for resource-constrained portable and low-power devices.
  • On-pixel analog computation significantly enhances efficiency for motion detection and object bounding box determination.