STMicroelectronics

TS472IQT

The TS472IQT is a high-performance, low-power, 32-bit RISC-V microcontroller from STMicroelectronics. It is based on the GAP8 RISC-V processor and is designed for a wide range of applications, including edge AI, computer vision, and IoT devices.

Description:

The TS472IQT is a member of the STM32 family of microcontrollers and features a 32-bit RISC-V GAP8 processor with a clock speed of up to 350 MHz. It includes a range of integrated peripherals, including a memory management unit, a hardware cryptographic module, and a hardware neural network accelerator. The device also includes a range of communication interfaces, including USB, Ethernet, and various serial interfaces.

Features:

• 32-bit RISC-V GAP8 processor with a clock speed of up to 350 MHz
• Memory management unit
• Hardware cryptographic module
• Hardware neural network accelerator
• Integrated peripherals, including USB, Ethernet, and various serial interfaces
• Low-power design for extended battery life
• High performance for demanding applications

Applications:

The TS472IQT is suitable for a wide range of applications, including:

1. Edge AI: The TS472IQT's neural network accelerator and cryptographic module make it well-suited for edge AI applications, such as image recognition and voice recognition.
2. Computer vision: The TS472IQT's high performance and integrated peripherals make it an ideal choice for computer vision applications, such as object detection and tracking.
3. IoT devices: The TS472IQT's low-power design and integrated communication interfaces make it well-suited for IoT devices, such as smart home devices and industrial sensors.
4. Wearable devices: The TS472IQT's small form factor and low power consumption make it an ideal choice for wearable devices, such as fitness trackers and smartwatches.
5. Robotics: The TS472IQT's high performance and integrated peripherals make it well-suited for robotics applications, such as autonomous drones and robotic arms.

Overall, the TS472IQT is a high-performance, low-power microcontroller that is well-suited for a wide range of applications, including edge AI, computer vision, IoT devices, wearable devices, and robotics. Its integrated peripherals, neural network accelerator, and cryptographic module make it a powerful tool for developing innovative and secure connected devices.