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Low-Power RISC-V MCU Achieves High-Accuracy License Plate Recognition

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a novel, low-power system for automatic license plate recognition (ALPR) using a RISC-V multi-core microcontroller. This system, powered by a 9-core GAP8 processor, integrates license plate detection with SSDlite-MobilenetV2 and optical character recognition using LPRNet. It achieves a 38.9% mAP for detection and over 99.13% recognition accuracy on public datasets, while consuming only 117 mW and operating at 1.09 FPS. This design is notably 73 times more energy-efficient than previous mobile-class ALPR systems. AI

IMPACT Demonstrates feasibility of complex AI models on low-power edge devices, potentially enabling widespread embedded vision applications.

RANK_REASON Paper detailing a novel system for license plate recognition on an MCU. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Low-Power RISC-V MCU Achieves High-Accuracy License Plate Recognition

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Paper detailing a novel system for license plate recognition on an MCU. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Lorenzo Lamberti, Manuele Rusci, Marco Fariselli, Francesco Paci, Luca Benini ·

    Low-Power License Plate Detection and Recognition on a RISC-V Multi-Core MCU-Based Vision System

    arXiv:2607.09768v1 Announce Type: new Abstract: In this paper, we present the first (to the best of our knowledge) demonstration of a low-power MCU-based edge device for Automatic License Plate Recognition (ALPR). The design leverages on a 9-core RISC-V processor, GAP8, coupled w…

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