The Fremont (MAXREFDES6#) subsystem reference design meets the high-resolution needs of low-voltage output sensor applications. Boards for purchase, hardware and firmware design files, and FFTs and histograms from lab measurements provide complete system information for rapid prototyping and development.
Design autonomous vehicles with our sensor fusion development platform
Chhavi is a tiny, wireless, touch capacitive fingerprint sensor with high-end security features, support for ultra-low power operation and optional NFC connectivity. Its open source firmware is fully compatible with the Arduino IDE. Chhavi is powered by ESP32 and features an FPC BM-Lite fingerprint sensor by Fingerprints, giving you and your projects access to the excellent biometric hardware found in many smartphones. Unlike optical fingerprint sensors that are large and power-hungry, this capacitive biometric sensor is small, accurate, and energy-efficient. During our design process, we determined that NFC communication would be a powerful feature for many of the same applications that might require a high-quality fingerprint sensor, but we could not find a major ESP32-driven NFC controller. So we built one into Chhavi as an optional feature. We've also added an optional battery to simplify installation and facilitate mobile deployment. The result is a tiny device with a cutting-edge fingerprint reader, Wi-Fi and Bluetooth capabilities, as well as support for NFC and battery power when needed.
This reference design demonstrates the performance of the MAX44285 dual-channel, high-precision, high-voltage, current-sense amplifier. It is a Pmod module that contains all the necessary circuitry required for the design of a current and temperature monitoring system.
The PM2.5 infrared module uses infrared turbidity detection method to detect fine dust with particles > 1 μm. The PM2.5 laser module uses a stable airflow system such as a fan or blower, and uses an optical sensor to identify dust particles > 0.3 μm.
An air purifier based on stm32f103rct6 chip can measure temperature and humidity and control fans.
As the flat-panel TV boom continues, consumers expect better sound quality to complement the display. Excelpoint's wireless Sound Bar solution is based on ADI's SigmaDSP® digital audio processor, which not only achieves superior audio performance, but also brings a more perfect experience to users. Users can wirelessly transfer music from smartphones, tablets or PCs, and the NFC module can also implement "touch-to-pair" functionality.
The i.MX RT1020 EVK is an entry-level, low-cost development platform equipped with the i.MX RT1020 crossover processor based on Arm Cortex-M7.
The LPC8N04 development board is a low-cost development board equipped with the LPC8N04 and supports MCUXpresso IDE.
Introducing an application solution for Bluetooth products that is very common in everyone's life, a Bluetooth selfie stick application developed based on the MM32W series.
The i.MX 8M Mini EVK provides a platform for rapid evaluation of i.MX 8M Mini and i.MX 8M Mini Lite applications processors.
The LPCXpresso55S69 development board provides an ideal platform for evaluation and development of the LPC55S6x MCU family.
The TWR-KL25Z48M MCU module is equipped with Kinetis L series ARM Cortex-M0+ MCU.
The NTAG I²C+ Explorer Kit is an all-in-one demonstration/development resource for NFC connected tags. Additional NFC readers included.
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