Comprehensive Portfolio Propels Qualcomm to Market Leadership in TinyML-Based Machine Vision

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By Lian Jye Su | 4Q 2020 | IN-5988

 

TinyML-Based Machine Vision Has Large Commercial Potential

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Bringing machine learning (ML) to all forms of devices has been the key in enabling distributed intelligence. This vision is shared by many Artificial Intelligence (AI) vendors, including Arm, Qualcomm, and Google. As such, these companies have been championing the development of the Tiny Machine Learning (TinyML) ecosystem. TinyML is broadly defined as an ML technology that enables the performance of data analytics on hardware and software dedicated for low-powered systems, typically in the mW range, using algorithms, networks, and models down to 100 Kilobytes (kB) and below. TinyML applications range from the detection of ambient temperature, vibration, and voltage to identification of images, voice, and video.

Among these applications, TinyML-based machine vision is expected to play key roles both in consumer devices, such as wearables and smart glasses, and enterprise equipment such as security cameras and ambient ...

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