More
    HomePress ReleaseSTMicroelectronics helps Panasonic Cycle Technology bring AI to e-assisted bikes for affordable...

    STMicroelectronics helps Panasonic Cycle Technology bring AI to e-assisted bikes for affordable safety boost

    • The new tyre pressure monitoring system improves safety and user experiences
    • ST’s software ecosystem tool, STM32Cube.AI, accelerates the development of the edge AI function operating on the STM32 microcontroller

    STMicroelectronics, a global semiconductor leader serving customers across the spectrum of electronics applications, has announced that Panasonic Cycle Technology, Co. Ltd. (Panasonic) has adopted the STM32F3 microcontroller (MCU) and edge AI development tool, STM32Cube.AI, for their TiMO A e-assisted bike. ST’s edge AI solutions provide a tyre pressure monitoring system (TPMS) that leverages an advanced AI function to improve rider safety and convenience.

    Panasonic is a leading producer of e-assisted bikes in Japan and offers a wide variety of products for various uses to the Japanese market. Their electric-assist bicycle for school commuting, TiMO A, runs an AI application on the STM32F3 MCU to infer the tyre air pressures without using pressure sensors. Based on information from the motor and the bicycle speed sensor, the system generates a warning to inflate the tyres if necessary. ST’s edge AI development tool, STM32Cube.AI, enabled Panasonic to implement this edge AI function while fitting into STM32F3 embedded memory space. This new function simplifies tyre air-pressure maintenance, which enhances rider safety and prolongs the life of tyres and other cycle components. It also helps to reduce the cost and design work, as there is no need for additional hardware such as an air pressure sensor.

    “We develop and manufacture e-assisted bikes with the mission of delivering environmentally friendly, safe, and comfortable transportation, accessible to all,” said Mr. Hiroyuki KAMO, Manager, Software Development Section, Development Department of Panasonic Cycle Technology. “ST’s STM32F3 MCU provides cost competitiveness and optimal functions and performance for e-assisted bikes. By combining the STM32F3 MCU with STM32Cube.AI, we were able to implement the innovative AI function without the need to change hardware. We will continue to increase the range of models with AI functions and strive to fulfil our mission by leveraging ST’s edge AI solutions.”

    “ST has been actively working on the global proliferation of edge AI in both hardware and software, providing edge AI solutions to a wide range of products including industrial and consumer equipment,” said Marc Dupaquier, Managing Director of Artificial Intelligence Solutions, STMicroelectronics. “This collaboration marks a key step in our efforts, and we are delighted to have contributed to the first implementation of this AI function in Panasonic’s e-assisted bike. We will continue to propose AI use cases and solutions for diverse markets, anywhere we can help to augment our life.”

    ST will showcase edge AI solutions, including the STM32 MCU and a variety of AI development tools, at the AI Expo at Tokyo Big Sight (May 22-24, 2024). The e-assisted bike and the motor unit (cutaway sample) from Panasonic Cycle Technology, which features the STM32F3 MCU and STM32Cube.AI, are also scheduled to be displayed at this expo.

    How it works
    The STM32F3 MCU adopted for the TIMO A is based on the Arm Cortex-M4 (with a maximum operating frequency of 72 MHz) and features a 128KB Flash, along with various high-performance analog and digital peripherals optimal for motor control. In addition to the new inflation warning function, the MCU determines the electric assistance level and controls the motor.

    It leverages STM32Cube.AI to reduce the size of the neural network (NN) model and optimize memory allocation throughout the development of this AI function. STM32Cube.AI is ST’s free edge AI development tool that converts NN models learned by general AI frameworks into code for the STM32 MCU and optimizes these models. The tool optimized the NN model developed by Panasonic Cycle Technology for the STM32F3 MCU quickly and easily and implemented it in the flash memory, which has limited capacity.

    ST offers a comprehensive edge AI ecosystem for spreading edge AI to devices used in a wide range of scenarios. The ecosystem includes STM32Cube.AI and also the NanoEdge AI Studio autoML tool. Both tools are part of the soon-to-be-available ST Edge AI Suite. All of them are available free of charge.

    Related Post

    Most Popular

    Best Picks

    STM32WBA, 1st wireless Cortex-M33 for more powerful and more secure Bluetooth applications #STM32InnovationLive

    Author: STMicroelectronics Update, December 21, 2023 The STM32WBA52xx are now available in a QFN32 package measuring only 5 mm x 5 mm as opposed to the...

    2024 Insights: Dr. Abhilasha Gaur on Skilling’s Impact in...

    In an exclusive interview, Dr Abhilasha Gaur, COO of the Electronics Sector Skills Council of India (ESSCI), sheds light on how skilling processes will...

    Simulation Tool Prevents Severe Issues in Various Automotive Scenarios

    Authors: Giusy Gambino, Alessio Brighina, Francesco Giuffre’, Filippo Scrimizzi, STMicroelectronics, Catania, Italy When conceiving and implementing cutting-edge solutions that can thrive in harsh automotive environments a...

    SensorTile.box PRO, a new story about a professional board...

    Author: STMicroelectronics  The SensorTile.box PRO redefines what it means to use professional tools destined for the Internet of Things by making the technology accessible to more than...

    STM32CubeMonitor 1.7, STM32CubeMonitor-UCPD 1.3, and STM32CubeMonitor-RF 2.12, more powerful...

    Author: STMicroelectronics STM32CubeMonitor 1.7 became more flexible thanks to new UI improvements in an effort to adapt to the many use cases it must handle. For...

    Driving the Future: Exploring Innovations in the Automotive Power...

    The global automotive power electronics market is set to achieve a valuation of US$ 6 billion by 2033, advancing at 4.1% CAGR from 2023 to 2033, as...

    Empowering Karnataka’s Electronics Industry: An Insightful Conversation with CLIK...

    Karnataka, a shining star in India's technological landscape, has earned international acclaim for its thriving electronics and IT sectors. Fuelled by a legacy of...

    Aimil Ltd.: Setting the Benchmark for Instrumentation Solutions at...

    Aimil Ltd., an ISO 9001:2015 certified company with a heritage tracing back to 1932, holds a prominent position as a leading provider of cutting-edge...

    Electrify Your Future: A Thriving Career in the E-Mobility...

    In an era where sustainability and innovation reign supreme, the E-Mobility sector has emerged as the driving force behind a transformative shift in the...

    Must Read