MCUs Usher In Smarter & Power-efficient Wearables

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One of the biggest challenges for designers of IoT sensors, wearables, and other compact devices is maximizing the battery life of small, onboard batteries. The need of energy-efficient MCUs continues to persist as applications are becoming smarter.

For designers of wearables and other compact devices, Maxim has launched new ultra-low power IoT microcontrollers (MCUs) that are claimed to be as smart as they are energy efficient, and allow the design of smarter IoT products, without running out of code space or battery life. They are also tough enough to withstand the most advanced cyber attacks.

Based on the Arm Cortex-M4 with FPU processor, the new MAX32660 and MAX32652 suit applications such as smart watches, wearable medical devices, fitness monitors, environmental sensors, IoT sensors, and other size-constrained devices.

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MAX32660: Powerful Processing + Tiny Form factor

According to Maxim, this MCU suits the needs of engineers who want to build more intelligent sensors and systems that are smaller and lower in cost, while also providing a longer battery life.

The device gives designers access to enough memory to run some advanced algorithms and manage sensors (256KB flash and 96KB SRAM). At the same time, it claims to offer an excellent power performance (50 μW/MHz), impressively small size (1.6mm x 1.6mm in WLP package), and a cost-effective price point.

MAX32652: Low-power consumption with scalable memory

For IoT devices that strive to do more processing and provide more intelligence while consuming low power, the MAX32652 offers the benefits of the low power consumption of an embedded microcontroller and the capabilities of a higher powered applications processor.

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Ket features of the device include:-

  • It features 3MB flash and 1MB SRAM integrated on-chip and runs up to 120 MHz.
  • It also integrates high-speed peripherals such as high-speed USB 2.0, secure digital (SD) card controller, a thin-film transistor (TFT) display, and a complete security engine.
  • Memory scalability is supported anticipating the increasing demands of smart devices. The MCU can run from external memories over HyperBus or XcellaBus.

 

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