Advances on Smart Vision Chips and Near-Sensor Inference for Edge AI
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 4851
Special Issue Editors
Interests: smart imagers and vision chips; 3D and ToF imagers; vertical integration of sensors; multispectral imaging
Special Issue Information
Dear Colleagues,
The emergence of artificial vision is fueled by the convergence of advanced image sensing technologies and embedded artificial intelligence. In addition to the obvious requirements on image sensors—high spatial and temporal resolution, high dynamic range, 3D information—the challenge at the sensor plane is now the extraction of visually relevant information. However, conveying visual sensing and processing to the edge is very challenging. Convolutional neural networks, now at the core of most vision pipelines because of their high accuracy, come at the cost of a heavy computational load. Lightweight representations of the scene, abridged networks, and dedicated circuitry for inference acceleration need to be explored to accomplish efficient visual processing at the edge.
This Special Issue aims at gathering the latest results on smart vision front-ends carrying out optical sensing, smart transduction, and early processing to boost the performance of the whole visual pipeline. Thus, we welcome contributions in—but not limited to—the following topics:
- Analog-to-information image sensors;
- In-sensor feature learning and extraction;
- Compressive sensing inference;
- Always-on visual sensing;
- Emerging devices and technologies for smart optoelectronics;
- Hardware-software co-design for efficient on-chip sensing-processing;
- Vertical circuit integration for hierarchical processing;
- Circuits and systems for concurrent 2D/3D image sensing;
- Non-conventional visual information coding for accelerated processing.
Prof. Dr. Ricardo Carmona-Galán
Prof. Dr. Jorge Fernández-Berni
Guest Editors
Manuscript Submission Information
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Keywords
- smart image sensors
- vision chips
- machine learning accelerators
- integrated vision systems
