TraceSafe Inc (CSE:TSF) has announced the release of its new wearable multi-form-factor devices with long-lasting rechargeable batteries, motion recognition chips, and breakthrough machine learning performance.
Having integrated a machine learning (ML) engine into its devices, the company said it is aiming at taking the enterprise Internet of things (IoT) market to a whole new level.
It noted that customers can now use the machine learning chip in combination with the new ultra-low-power gyroscope and accelerometer to build deep-learning models for motion and human activity recognition scenarios.
READ: Tracesafe says it will recognize US$1.3 million in revenue for Q1 2021
These models will help enterprises to better understand the movement of people and assets to ensure safety and to provide best-in-class customer experiences, TraceSafe noted.
"We are constantly improving our hardware to meet cutting edge use cases,” Tracesafe CEO Wayne Lloyd said in a statement. “Having an ability to run machine-learning algorithms directly on devices, helps our clients ensure that sensitive information never needs to be uploaded to the cloud. At the same time, a platform built on top of edge devices provides our customers with unparalleled performance that cannot be achieved through traditional Cloud-AI methods, especially in environments where connectivity can be an issue."
TraceSafe said it is following the lead of technology leaders like Apple and Qualcomm which are also articulating the benefits of on-device learning.
The company said it sees a massive opportunity for ML-devices in the B2B market and is looking forward to what its customers can build on top of its powerful IoT software and now the ML-powered hardware.
It noted that it has already shipped the first generation of its intelligent wearables to one of its clients, and is working closely with the customer to build industry-specific apps that can benefit from the device's new technologies.
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