MediaTek

MT2523

  • The MT2523 is a System-on-Chip (SoC) developed by MediaTek, specifically designed for wearable devices, fitness trackers, and IoT (Internet of Things) applications. It is part of MediaTek's series of low-power, highly integrated chips, aimed at providing efficient performance for applications that require battery efficiency, real-time processing, and connectivity. The MT2523 is well-suited for devices that demand compact design and long-lasting battery life, such as smartwatches, fitness trackers, and other connected health devices.

Product description

The MT2523 is a low-power, highly integrated SoC designed by MediaTek to address the specific needs of wearables and IoT devices. It features a 32-bit ARM Cortex-M4 processor, which is known for its energy-efficient design, making it suitable for applications that require continuous operation without compromising battery life. The chip is capable of processing real-time data from sensors, enabling motion tracking, fitness monitoring, and health-related applications with minimal power consumption.

One of the key features of the MT2523 is its Bluetooth Low Energy (BLE) connectivity. This allows wearable devices to easily connect to smartphones, tablets, or other Bluetooth-enabled devices to synchronize data or perform remote functions. BLE is essential for wearables because it ensures low-energy communication, which prolongs the battery life of the device, even during extended periods of use.

In addition to BLE, the MT2523 also supports GNSS (Global Navigation Satellite System), enabling location tracking. This is particularly useful in applications like fitness tracking, where users may want to track their outdoor activities, such as walking, running, or cycling. The GNSS support ensures that the device can offer accurate positioning data for activities that require location awareness.

The sensor integration in the MT2523 is another highlight. It is designed to support a wide range of motion sensors, such as accelerometers, gyroscopes, and heart rate monitors. These sensors allow the MT2523 to be used in devices that monitor physical activity, health metrics, and environmental conditions. Additionally, the chip can perform sensor fusion, which involves combining data from different sensors to improve the accuracy and reliability of measurements, making the device more effective at tracking users' movements or health data.

Power efficiency is a core design principle of the MT2523. With multiple low-power modes, including a sleep mode that consumes minimal power when the device is idle, the chip is able to ensure that wearables and IoT devices can run for extended periods on a single charge. This is critical for devices that need to operate continuously, such as fitness trackers or smartwatches, where users expect long-lasting battery life without the need for frequent recharging.

In summary, the MT2523 is an advanced SoC designed for wearables and IoT devices, offering a combination of low-power performance, real-time processing capabilities, sensor integration, and connectivity features. With its efficient ARM Cortex-M4 processor, Bluetooth Low Energy support, and GNSS capabilities, the MT2523 is an excellent choice for developers seeking to create battery-efficient, connected devices with precise tracking and sensor fusion capabilities. Whether used in fitness trackers, smartwatches, or other IoT solutions, the MT2523 ensures that devices can offer long battery life and reliable performance in a small, integrated package.


Specification parameters

  • Processor:

    • ARM Cortex-M4 processor, 32-bit, running at speeds up to 192 MHz.

    • Optimized for low-power processing and real-time tasks.

  • Connectivity:

    • Bluetooth Low Energy (BLE) for wireless data transfer and device connectivity.

    • GNSS support for location-based services, fitness tracking, and navigation.

  • Power Efficiency:

    • Multiple low-power states to extend battery life.

    • Active mode with minimal idle power consumption.

    • Energy-efficient architecture for wearable and IoT applications.

  • Sensor Integration:

    • Supports a variety of sensors for motion tracking, activity recognition, and health monitoring (e.g., accelerometer, gyroscope, heart rate sensors).

    • Capable of sensor fusion for improved tracking accuracy.

  • Other Features:

    • On-chip analog front-end for interfacing with various sensors.

    • Integrated power management features for efficient operation in wearable devices.


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