HomeNewsMagic Information Launches Turnkey Solution for Smart Locks Using Technology from STMicroelectronics

    Magic Information Launches Turnkey Solution for Smart Locks Using Technology from STMicroelectronics

    Magic Information, China’s leading Artificial Intelligence of Things (AIoT) fingerprint-recognition technology provider, has launched a smart-lock reference design, based on AIoT fingerprint recognition running on an STMicroelectronics STM32WB55* Bluetooth LE (BLE) microcontroller (MCU) that manufacturers can integrate into their designs to make Smart Locks.

    This reference design leverages the dual-core (Arm® Cortex® M0+ and M4) advantages of the STM32WB55, designed with high interoperability between the hosting MCU, fingerprint recognition, as well as Bluetooth LE 5.2. The Magic Information fingerprint-recognition algorithm runs on the high-performance STM32WB55 MCU that also enables recognition and unlocks the device in as fast as 0.3 seconds, while ensuring ultra-low power consumption.

    There is increasing demand for locks that offer completely keyless operation. Restrictions such as power consumption, size, and user experience make these locks extremely challenging to deliver,” said Weiwen Yang, CTO of Magic Information, “The combination of Magic Information’s industry-leading technology in embedded fingerprint recognition running on an STM32WB MCU with BLE meets the challenge. Magic Information will offer a turnkey solution for the whole smart-lock industry. Meanwhile, a platform with APIs for various applications is also available to help our clients develop product/business innovations, with outstanding quality and performance assured.”

    With the BLE 5.2 and outstanding processor performance and power efficiency of the STM32WB running Magic Information’s fingerprint recognition, their turnkey reference-design solution integrates compactness in system robustness and performance efficiency. Building on the high-level security of the STM32WB, fingerprint recognition enhances the system-level security for markets where it really matters such as access control and medical devices,” said Arnaud Julienne, Vice President, Head of Marketing and Applications of MDG, IoT/AI Competence Center and Digital Marketing, Asia Pacific Region, STMicroelectronics.

    For the best user experience and cost competitiveness, a variety of fingerprint sensors, sizes (including 80×64, 112×88, 176×64, and 160×160), and packaging methods are currently available. The turnkey solution has been qualified with mass productions. At the same time, a very much improved efficiency in product building/development can be expected, which can shorten the time-to-market within 20 weekdays.

    *STM32 is a registered and/or unregistered trademark of STMicroelectronics International NV or its affiliates in the EU and/or elsewhere. In particular, STM32 is registered in the US Patent and Trademark Office.

    For more information, visit www.st.com 

    Related News

    Must Read

    Top 10 Decision Tree Learning Applications and Use Cases

    Decision Tree learning is a widely used method in...

    PM Modi, Japan’s Ishiba Visit Sendai Plant to Boost Semiconductor Ties

    Prime Minister Narendra Modi and his Japanese counterpart Shigeru...

    India’s First Tempered Glass Production Unit Inaugurated in Noida

    Union Minister Ashwini Vaishnaw inaugurated India’s first tempered glass...

    Top 10 Reinforcement Learning Companies in India

    Reinforcement learning (RL), a subfield of machine learning in...

    Reinforcement Learning Definition, Types, Examples and Applications

    Reinforcement Learning (RL), unlike other machine learning (ML) paradigms,...

    Infineon drives industry transition to Post-Quantum Cryptography on PSOC Control microcontrollers

    Infineon Technologies AG announced that its microcontrollers (MCUs) in...

    Decision Tree Learning Definition, Types, Examples and Applications

    Decision Tree Learning is a type of supervised machine...

    Renesas Introduces Ultra-Low-Power RL78/L23 MCUs for Next-Generation Smart Home Appliances

    Ultra-low-power RL78/L23 MCUs with segment LCD displays & capacitive...