512KiB RAM Is Enough! Live Camera Face Recognition DNN on MCU
| Autor: | Grigory Serebryakov, Anna Petrovicheva, Alexander Smorkalov, Tatiana Khanova, Maxim Zemlyanikin |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Computer science
business.industry Deep learning 05 social sciences 010501 environmental sciences 01 natural sciences Facial recognition system Pipeline (software) Microcontroller 0502 economics and business Artificial intelligence 050207 economics Face detection Quantization (image processing) business Computer hardware 0105 earth and related environmental sciences |
| Zdroj: | ICCV Workshops |
| DOI: | 10.1109/iccvw.2019.00305 |
| Popis: | Small factor and ultra-low power devices are becoming more and more smart and capable even for deep learning network inference. And as the devices are "small", the challenge is becoming tougher. This paper covers full development and deployment pipeline of Face Recognition with a live camera - from model training and quantization to porting to RISC-V MCU with 512 kilobytes of internal RAM. Authors provide GreenWaves GAP8 SoC overview and the approaches for DNN model optimization and inference in the extreme environment. As the project outcome, authors were able to run Face Detection and Recognition with live QVGA camera and display preview on a battery-powered board. |
| Databáze: | OpenAIRE |
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