The device is intended to help provide intensive sensorisation for smarter, data-driven operations and decision making in asset tracking, robotics, and factory automation, as well as industrial-safety equipment and healthcare devices.
With in-sensor AI to relieve the host processor and automatic self-configuration to optimise power consumption, the IIS2DULPX lets equipment makers build maintenance-free, battery-powered smart sensor nodes in convenient form factors.
With on-chip intelligence, these accelerometers can operate and adapt in real time enabling a more flexible AI approach that’s best suited to the application, according to ST. Typical applications include event tracking of assets or goods in transit.
ST’s machine-learning core (MLC) can host AI algorithms to classify the kind of transportation system the asset is on and events such as dropping, shaking, tilting, and flipping, enhancing quality assurance and supply-chain process improvement. Performing inference directly in the sensor relieves demands on the host-processor helping to greatly extend the sensor battery life.
In addition, the IIS2DULPX can be used in sensors for smart condition monitoring that are attached to assets such as industrial machinery or robotic arms to detect excessive vibrations, hits, and shocks. Their small size and low power consumption lets device makers create sensors with a compact outline and extended operation from a small and lightweight battery, that can be easily used to retrofit equipment that is already installed and operational.
Further applications for the IIS2DULPX include smart protective equipment and portable healthcare devices, including monitoring systems designed into industrial safety helmets to detect proper helmet wearing, impacts and falls for accident prevention or prompt emergency alerts, improving overall workplace safety.
The sensor can detect a dangerous fall and immediately generate an alert for prompt assistance, as well as monitoring activity to identify unusual work patterns and ensure safety compliance.
With its embedded machine-learning core and finite state machine (MLC/FSM), as well as automatic self-configuration, the IIS2DULPX permits continuous supervision while consuming very little energy.
The IIS2DULPX has also been integrated in an advanced battery-powered sensor for monitoring wafer-handling robot arms in semiconductor fabrication, to measure vibrations and shocks that could impact yield or reliability of chips.
The IIS2DULPX operates over an extended operating temperature range, up to 105°C. It is available now.
