Search Results for : PCB

Texas Instruments DRV8212 12V, 2A Low Voltage H-Bridge Motor Driver provides PWM, PH/EN, and half-bridge control interfaces and low-power sleep mode. The DRV8212 Motor Driver is integrated with four N-channel power FETs, a charge pump regulator, and protection circuitry. The triple...

Bel Power Solutions' DC/DC converters are offered in 5V, 12V, 15V, and 48V output options, with high input to output efficiency Bel Power Solutions' 0RQB-50Y05x series isolated DC/DC converter provides 50 W of output power from wide input voltage ranges: 24 V, 48 V, 72 V, 96 V,...

Recently, we have seen the launch of the Firefly ROC-RK3566-PC mini-computer built around the Rockchip RK3566 chip. To continue the emergence of RK3566-powered development boards, the Quartz64, a single-board computer (SBC) has been released by Pine64. With the integrated powerful...

Sunlight readable display may not be a new concept for most developers working on the Raspberry Pi single-board computers. For those who do not know how it works, then as the name suggests, a sunlight-readable display operates in direct sunlight or harsh light conditions. Those working...

Although this power supply design is specific to the Intelligent Power Modules (IPM) VFD drives, high voltage boost converters, high voltage battery chargers, etc, the concept and circuit design may be used for any power supply that requires a high voltage output of up to 800V DC and...

This is an easy-to-build project and it is the most cost-effective and high-performance frequency multiplier, which instigates analog phase lock loop techniques. The circuit provides high-quality, high-frequency output from lower frequency crystal or clock input. The project can be...

The RAK3172 LoRa Module includes a STM32WLE5CC chip, which supports eight (8) spreading factors (SF5 ~ SF12) and signal bandwidth that can be adjusted between 7.8 kHz to 500 kHz. It has Ultra-Low Power Consumption of 1.69 μA in sleep mode, but during the Transmit Mode, it can reach...

For real-time AI applications, it is important to process incoming data using a trained neural network model. For faster data processing, the introduction to AI inference at cloud did support many aspects, increasing efficiency, but the need to process the data at the end device has...