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Deployment of TinyML on THEJAS32 based IoT Platform

Speakers: Aleena Vinod, Subina Gafoor A, Bhagyasree V S, Prem Krishnan N, Shibu R M

Track: Track 2: IoT and applications

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Abstract

THEJAS32 SoC is based on the VEGA ET1031 processor, a 32-bit single core, in-order, 3-stage pipeline processor developed by C-DAC under the MDP. This work presents the maiden attempt to deploy Tiny Machine Learning (TinyML) on a hardware platform built around the THEJAS32 SoC. A TinyML model was trained and optimized using the TensorFlow framework using Google Colab and deployed to the hardware using the VEGA Software Development Kit (SDK). The model was compressed by as much as 97% compared to the one developed using TensorFlow. This validates the viability of the TinyML-IoT-THEJAS32 platform for TinyML applications.


 

Speakers

Aleena Vinod
Project Engineer
Centre for Development of Advanced Computing
Subina Gafoor A
Project Engineer
Centre for Development of Advanced Computing
Bhagyasree V S
OS Engineer
Centre for Development of Advanced Computing
Prem Krishnan N
Scientist E
Centre for Development of Advanced Computing
Shibu R M
Scientist G
Centre for Development of Advanced Computing

Details

Type
Online
Model
OFFLINE
Language
EN
Timezone
UTC+8
Views
195
Likes
19