Abstract
Introduced is the system level design of a Thinking Camera powered by the CAOS camera platform. The proposed camera provides features such as extreme linear dynamic range and full spectrum operations with selectable space-time-frequency CAOS pixel modes using active and passive light. The imager has triple output ports design and is controlled via application-specific classical image processing, machine learning techniques, and human/user feedback. Imaging capabilities cover multi-dimensional mappings allowing diverse full spectrum (350 nm to 2700 nm) applications from industrial metrology to quantitative medical imaging to artefact preserving colour photography.
Highlights
Advances in electronic, optical, opto-electronic, optofluidic, & MEMS devices coupled with developments in high speed and energy efficient electronic processors have brought about a revolution in compact and handheld sensors impacting both the industrial and commercial worlds
Optical, opto-electronic, optofluidic, & MEMS devices coupled with developments in high speed and energy efficient electronic processors have brought about a revolution in compact and handheld sensors impacting both the industrial and commercial worlds. Mass production of these devices and processors along with advances in packaging technologies has brought price points down to consider the realization of a modular design thinking camera for multi-function operations empowered by both classical image processing methods as well as modern machine learning algorithms to optimize high efficiency camera controls for a specific application
The unique power of the thinking camera lies both in the raw physics-based image data extraction powers of the modular optical hardware as well as the mathematical basis of the smart camera controls provided by the high speed implementable algorithms optimized per application using training samples
Summary
Optical, opto-electronic, optofluidic, & MEMS devices coupled with developments in high speed and energy efficient electronic processors have brought about a revolution in compact and handheld sensors impacting both the industrial and commercial worlds Mass production of these devices and processors along with advances in packaging technologies has brought price points down to consider the realization of a modular design thinking camera for multi-function operations empowered by both classical image processing methods as well as modern machine learning algorithms to optimize high efficiency camera controls for a specific application. An adequate Signal-toNoise Ratio (SNR) of optimally designed and extracted raw image pixel signal data is required before Digital Signal Processing (DSP) image processing and machine learning can be useful for extraction of robust image data Such a novel image pixel signal conditioning and extraction technique-based camera has been proposed and demonstrated that works on the principles of an RF wireless mobile phone network where image pixels are treated as time-frequency coded mobile phone-like handsets. CMOS/CCD image sensors, point detectors, TI Digital Light Processing (DLP) technology Digital Micro-Mirror Device (DMD) chips, lenses, mirrors, etc
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