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A 1.5-2.0 TOPS/W 2T-Pixel CMOS Imager With Programmable In-Pixel Multi-Bit Feature Extraction
Abubakar Abubakar
,
Bo Wang
*
,
Amine Bermak
*
Corresponding author for this work
HBKU College of Science and Engineering
Division of Computing & Electrical Engineering
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Keyphrases
Feature Extraction
100%
CMOS Image Sensor
100%
CMOS Imagers
100%
Multi-bit
100%
In-pixel
100%
Transistor
100%
Vision System
66%
High Density
33%
Energy Efficient
33%
Analog Domain
33%
On chip
33%
Low Power
33%
Edge Intelligence
33%
Hardware Efficiency
33%
Pixel Array
33%
Fill Factor
33%
CMOS Process
33%
Image Sensor
33%
1-bit
33%
Handwritten Digit Recognition
33%
Convolution Kernel
33%
AI Applications
33%
System Support
33%
Partial Sums
33%
Edge AI
33%
Density Feature
33%
Validation Accuracy
33%
Hand Gesture Recognition
33%
Link Switching
33%
Single-slope ADC
33%
Embedded Vision
33%
Future Images
33%
On-chip Power
33%
Capacitor
33%
Computer Science
Feature Extraction
100%
Image Sensor
100%
Transistor
100%
Vision Systems
50%
Energy Efficient
25%
Edge Intelligence
25%
handwritten digit recognition
25%
Convolution Kernel
25%
Edge AI
25%
hand gesture recognition
25%
Convolution
25%