(BRIEF) STMicroelectronics (NYSE: STM) announced Panasonic Cycle Technology’s adoption of the STM32F3 microcontroller (MCU) and AI progression tool, STM32Cube. AI, for its TiMO A electric motorcycle. This collaboration features a state-of-the-art tire pressure monitoring system (TPMS) that employs complex AI, improving driver protection and comfort. The AI application, which runs on the STM32F3 MCU, deduces tire air pressure without pressure sensors, generating warnings based on data from engine and motorcycle speed sensors. This progression simplifies maintenance, reduces prices and aligns with Panasonic’s project to provide environmentally friendly transportation. STMicroelectronics underscores its commitment to the global proliferation of next-generation AI and will showcase those answers at the AI Expo in Tokyo. The collaboration shows the synergy between hardware and software advancements, enabling the implementation of AI in diverse markets.
(PRESS RELEASE) GENEVA, April 3, 2024 — /EuropaWire/ — STMicroelectronics (NYSE: STM), a global leader in semiconductors whose consumers span the full spectrum of electronic applications, today announced that Panasonic Cycle Technology, Co. Ltd. (Panasonic) has tracked the STM32F3 microcontroller (MCU) and AI progression tool, STM32Cube. AI, for its TiMO A e-bike. ST’s AI solutions provide a tire pressure monitoring system (TPMS) that leverages the complex capability of AI to enhance driver protection. and comfort.
Panasonic is one of the leading manufacturers of electric bikes in Japan and offers a wide variety of products for use in the Japanese market. Its e-bike for school trips, TiMO A, runs an artificial intelligence application on the STM32F3 MCU to infer air from tires. voltage without the use of voltage sensors. Based on the data from the bike’s engine and speed sensor, the formula generates a warning to inflate the tires if necessary. ST’s Edge AI progression tool, STM32Cube. AI, allowed Panasonic to implement this Edge AI feature while integrating into the STM32F3’s onboard memory space. This new feature makes it easier to maintain tire air pressure, gaining greater rider protection and extending the life of tires and other bike components. This also reduces costs and design work, as no additional hardware is required. An air pressure sensor, for example, is required.
“We expanded and manufactured e-bikes with a project to offer comfortable, safe and environmentally friendly transportation that is available to everyone,” said Hiroyuki KAMO, Director of Software Development Section, Development Department of Panasonic Cycle Technology. ST’s MCU STM32F3 provides cost competitiveness as well as optimal purposes and functionality for e-bikes. By combining the STM32F3 MCU with STM32Cube. AI, we were able to implement the cutting-edge AI feature without having to replace the hardware. We will continue to expand the diversity of models with AI applications and try to satisfy our project by leveraging ST’s state-of-the-art AI solutions. “
“ST is actively working to foster the global proliferation of next-generation AI, whether hardware or software, by delivering next-generation AI answers to a wide diversity of products, adding commercial and customer teams,” said Marc Dupaquier, CEO. of Artificial Intelligence Solutions at STMicroelectronics. ” This collaboration marks a key milestone in our efforts and we are very pleased to have contributed to the first implementation of this AI feature on Panasonic’s e-bike. We will continue to offer AI usage instances and answers for diverse markets, anywhere we can help improve our lives.
ST will showcase state-of-the-art AI solutions, adding the STM32 MCU and a variety of AI progression tools, at the AI Expo at Tokyo Big Sight (May 22-24, 2024). Panasonic Cycle Technology’s e-bike and propulsion unit (also expected to be shown at this exhibition is a cross-sectional display), which includes the MCU STM32F3 and STM32Cube. AI.
Leverage STM32Cube. AI to reduce the length of the neural network (NN) design and optimize memory allocation around the progression of this AI function. STM32Cube. AI is ST’s free AI progression tool that converts NN styles learned through general AI frameworks into codes for the STM32 MCU and optimizes those styles. The tool temporarily and seamlessly optimized the NN style developed through Panasonic’s cycle technology for the STM32F3 MCU and implemented it in flash memory, which has limited capacity.
ST offers an end-to-end AI ecosystem to deliver AI to devices used in a wide variety of scenarios. The ecosystem includes STM32Cube. AI and the autoML tool NanoEdge AI Studio. Both teams are part of the soon-to-be-launched ST Edge. AI Suite. Everything can be obtained for free. For more details, please visit the following websites:
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SOURCE: STMicroelectronics
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