Name
Abstract | ||
|---|---|---|
The field of machine vision is continuously evolving. There are new products coming into the market that have very severe size, weight and power constraints and handle very high computational loads simultaneously. Existing architectures and digital image processing solutions will not be able to meet these ever-increasing demands. There is a need to develop novel architectures and image processing solutions to address these requirements. The major contribution of this work is to show that analog signal processing is a solution to this problem. The analog processor will be used as an augmentation device which works in parallel with the digital processor, making the system faster and more efficient. We have developed a prototype of an analog processing board using commercially available off-the-shelf components and demonstrated that a prototype development has several advantages over a direct integrated circuit design. We focus on providing experimental results that demonstrate functionality of the analog processing board and show that the performance of the prototype board for low-level and mid-level image processing tasks is equivalent to a digital implementation. To demonstrate improvement in speed and power consumption over other systems, we propose an integrated circuit design of the analog processor and show that such an analog processor would be 100× faster than existing FPGAs and 5× faster than state-of-the-art GPUs. We also compare the performance of the proposed integrated circuit design against other analog processors reported in the literature. We report a case study in which we use the processor for an object detection and recognition application and show that the processor has excellent performance. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s11554-017-0669-4 | Journal of Real-time Image Processing |
Keywords | Field | DocType |
Analog signal processing, Analog processor, Parallel architecture, Prototype design, Off-the-shelf components | Network processor,Machine vision,Computer science,Analog image processing,Field-programmable gate array,Image processing,Real-time computing,Integrated circuit design,Digital image processing,Analog signal processing,Embedded system | Journal |
Volume | Issue | ISSN |
16 | 5 | 1861-8219 |
Citations | PageRank | References |
1 | 0.36 | 20 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nihar Athreyas | 1 | 1 | 1.38 |
| Dev Gupta | 2 | 1 | 1.38 |
| Jai Gupta | 3 | 1 | 1.38 |