Onsemi, an industry leader in intelligent power and sensing technologies, has unveiled a revolutionary end-to-end positioning system designed to revolutionize asset tracking solutions with precise accuracy at lower costs and increased power savings. Utilizing their RSL15 MCU – known as one of the lowest power Bluetooth(r) 5.2 MCUs available – as well as cutting-edge software algorithms from Unikie and CoreHW components seamlessly integrated together for seamless performance, this end-to-end positioning solution delivers optimized components designed to seamlessly work together for optimal performance.
Bluetooth Low Energy (Bluetooth LE) technology now allows tags to track objects or individuals within enclosed spaces with sub-meter accuracy within warehouses, stores or buildings. Scalability makes the solution ideal for large volumes of tracked objects while offering excellent performance at cost-effectiveness with reduced development effort and time-to-market timeframes.
The RSL15 MCU boasts advanced features that make it suitable for a range of industrial automation applications, including asset tracking, smart retail and IoT edge nodes.
One of the standout features of RSL15 Bluetooth 5.2 MCU is its ability to support longer range and higher data transmissions, enabling precise localization through Angle of Arrival (AoA) and Angle of Departure (AoD) techniques, providing unparalleled accuracy in positioning.
Onsemi’s innovative smart sensing feature, which enables the Arm(r) Cortex(r)-M33 processor to remain in deep sleep mode while constantly monitoring sensor interfaces, further optimizes RSL15 MCU power efficiency. This intelligent power management extends battery life and improves overall system performance.
Security is at the core of RSL15 MCU design. Equipped with Arm TrustZone(r) and Arm CryptoCell(tm)-312 technology, which establishes a solid root of trust for devices while guaranteeing code authenticity, integrity, and confidentiality; as well as PSA Level 1 certification this design further augments security measures present within Bluetooth protocol providing peace of mind at both application and data levels.
Unikie, a pioneering engineering company dedicated to enabling smart spaces, has played a crucial role in creating this positioning system. Their advanced software algorithms and components accurately calculate real-time positions of Bluetooth LE tags using received signals’ IQ values; additionally their high performance localization software called the Unikie BLE Localization Engine can easily be deployed at either edge or cloud deployment points; their APIs facilitate easy integration with enterprise systems and data analyzers further expanding this system’s versatility.
CoreHW, a well-established fabless semiconductor company specializing in integrated circuit technologies, contributes to the system by offering Angle of Arrival (AoA) development kits to various industries. These enable businesses to take advantage of indoor location systems and develop innovative location-based apps more effectively. In particular, CoreHW’s expertise lies in designing and providing Bluetooth LE antenna array boards of different form factors with accuracy reaching 10-centimeter levels – offering highly accurate location capabilities within 10 centimeters!
Onsemi’s end-to-end positioning system marks an impressive advancement in asset tracking solutions. Boasting superior accuracy, scalability and power efficiency, it could transform various industries through enhanced operational efficiencies, cost savings and enhanced decision making – particularly those involved with logistics or retail. Working closely with Unikie and CoreHW to deliver cutting edge IoT solutions to address real world challenges is proof of partnership’s strength.
What is an End-to-end positioning system?
An end-to-end positioning system refers to an inclusive solution which encompasses all necessary components and technologies required for pinpointing objects or individuals within a specified space. It often includes hardware, software algorithms and associated components which work together seamlessly for optimal tracking capabilities and accurate positioning capabilities.
Onsemi has recently unveiled an end-to-end positioning system utilizing their RSL15 MCU, a low power Bluetooth 5.2 microcontroller. When coupled with software algorithms and components from Unikie and CoreHW, this solution offers simplified asset tracking solutions with increased accuracy, cost effectiveness and power efficiency for tracking objects or people within closed environments such as warehouses or stores.
IoT edge node
An IoT edge node, also referred to as an edge device or gateway, is an integral part of an Internet of Things (IoT) architecture. This refers to physical devices or hardware located closer to data sources or points where data creation occurs on networks.
Edge nodes for IoT are designed to collect, process and analyze data generated from connected devices or sensors in real time, closer to their point of origin. By conducting data processing and analysis at the edge, they help reduce latency while alleviating network congestion while optimizing overall IoT system efficiency.
IoT edge nodes typically feature computing capability, storage capacity and connectivity options to facilitate data processing tasks and communicate with other devices or cloud-based systems. They can conduct local analytics, filter data to apply business rules in real-time decisions based on collected information, apply business rules or make real-time decisions using collected information. Furthermore, edge nodes act as communication gateways between IoT devices and cloud platforms enabling secure transmission of information between IoT devices and platforms.
With IoT edge nodes in their IoT deployments, organizations can reap benefits such as increased responsiveness, decreased data transfer costs and enhanced security – plus they allow operations in low connectivity environments or offline mode. Furthermore, they play a crucial role in edge computing and distributed intelligence within IoT deployments.
