GNSS module boasts decimetre level accuracy

Continuous lane accurate positioning is afforded by the ZED-F9K global navigation satellite system (GNSS) and dead-reckoning module for urban environments. According to u-blox, it improves positioning performance x10 over standard precision technology.   

The multi-band GNSS module has built-in inertial sensors. The module combines GNSS receiver technology, signal processing algorithms, and correction services to deliver down to decimeter-level accuracy within seconds, says u-blox. This addresses the evolving needs of advanced driver assisted systems (ADAS) and automated driving markets.

The ZED-F9K high precision dead reckoning module builds on the u‑blox F9 technology. Compatibility with modern GNSS correction services improves positioning accuracy by compensating ionospheric and other errors. The multi-band, multi-constellation real time kinematics (RTK) receiver module receives GNSS signals from all orbiting GNSS constellations. A greater number of visible satellites improves positioning in partially obstructed conditions, while increased satellite signal diversity delivers faster convergence times when signals are interrupted to improve navigation.

Inertial sensors integrated into the module constantly monitor changes in the moving vehicle’s trajectory and deliver lane accurate positioning when satellite signals are partially or completely obstructed, for example when the vehicle is in covered parking areas, tunnels, urban canyons, or wooded areas. When satellite signals become available again, the module combines inertial sensor data with GNSS signals to deliver fast convergence times and high availability of the decimeter-level solution.

The ZED‑F9K’s accuracy and low latency means it also applies to automotive OEMs and Tier 1s developing vehicle-to-everything (V2X) communication systems.

Samples will be available upon request by July 2019.

http://www.u-blox.com

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Aetina showcases AI in the smart factory

At this year’s Computex (28 May 1 June, Taipei, Taiwan), Aetina will display its edge artificial intelligence (AI) computing for the smart factory.

Aetina has co-operated with a third party in the textile industry to detect defects in textile production. Its small form factor, edge computing AI platform with five 2M cameras has been deployed in a defect-detect machine. The system consists of Aetina Jetson edge AI platform and third-party algorithm, which can detect up to nine kinds of textiles and reach 90% of accuracy. With this system, the factory can realise automation for production, says Aetina.

Analyst firm, IDC predicted that there would be a quarter of the edge device supported AI solution; it is essential to connect everything to the internet in the future. Aetina has integrated the eco-partner’s WiGi (5G last mile) solution so that the detected images of the textiles can immediately be sent to the cloud. The use of the internet, means that the factory’s control room can remotely deal with most of the problem and control the status of the factory.

“The combination of our edge AI platform and the 5G solution may realize the unmanned factory soon,” said Joe Lo, general manager, Aetina.

Aetina will be showing the combination of the smart factory and 5G at Computex 2019, booth 1-K0806.

Aetina was founded in Taiwan in 2012 and provides general purpose graphics processing units (GPGPUs) and Jetson edge AI computing solutions for embedded applications. The company focuses on the industrial market, providing industrial components and longevity service.

http://www.aetina.com

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Aetina showcases AI in the smart factory

At this year’s Computex (28 May 1 June, Taipei, Taiwan), Aetina will display its edge artificial intelligence (AI) computing for the smart factory.

Aetina has co-operated with a third party in the textile industry to detect defects in textile production. Its small form factor, edge computing AI platform with five 2M cameras has been deployed in a defect-detect machine. The system consists of Aetina Jetson edge AI platform and third-party algorithm, which can detect up to nine kinds of textiles and reach 90% of accuracy. With this system, the factory can realise automation for production, says Aetina.

Analyst firm, IDC predicted that there would be a quarter of the edge device supported AI solution; it is essential to connect everything to the internet in the future. Aetina has integrated the eco-partner’s WiGi (5G last mile) solution so that the detected images of the textiles can immediately be sent to the cloud. The use of the internet, means that the factory’s control room can remotely deal with most of the problem and control the status of the factory.

“The combination of our edge AI platform and the 5G solution may realize the unmanned factory soon,” said Joe Lo, general manager, Aetina.

Aetina will be showing the combination of the smart factory and 5G at Computex 2019, booth 1-K0806.

Aetina was founded in Taiwan in 2012 and provides general purpose graphics processing units (GPGPUs) and Jetson edge AI computing solutions for embedded applications. The company focuses on the industrial market, providing industrial components and longevity service.

http://www.aetina.com

> Read More

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