0.55 A forward buck-boost LED driver board based on LED6000
Constant current reverse buck LED driver using L6562A
9 W triac dimmable high power factor isolated LED driver based on HVLED815PF (for US market)
REF_ICL8800_LED_43W This 43 W reference design uses Infineon's high power factor flyback controller ICL8800. The evaluation board is a constant voltage (CV) secondary side regulation (SSR) system designed for use with a constant current (CC) converter for LED lighting applications. Two-stage topologies are becoming increasingly popular due to the easy scalability of primary-side power and secondary-side characteristics. The REF_ICL8800_LED_43W solution features a plug-and-play design and can be used with the secondary-side DC/DC evaluation board. As a default, the reference design board is equipped with a depletion mode MOSFET BSS126I based startup circuit on a small adapter board. This setup will significantly reduce standby losses. If low standby power consumption is not required, the startup circuit can be changed to a resistive startup design. This reference design comes with two conditioning circuits. Both are plug-and-play solutions, but at least one circuit must be connected to the motherboard. There is a cost trade-off between the two evaluation boards; the TL431 evaluation board is lower cost and has good standby performance, while the op amp board exhibits excellent overall performance at the 30 mW power level.
Evaluation Board Based on HVLED805: 4.2 W Isolated LED Driver with Primary-Side Current Regulation
L6569 High Voltage Half-Bridge Driver with Oscillator Evaluation Board
Rear headlight evaluation kit based on ALED1262ZT and STM8AF6266, including mode animation
This work is a thermometer based on face recognition. The appearance of the work is a temperature measuring gun. The work is mainly composed of the K210 kit provided by Sipeed, Hetai HT32F52352 chip, WIFI communication module, cloud server, IC card reader module and LDO power module. etc., the K210 is controlled by the HT32 chip to collect images in real time, and the collected images are processed locally. If there is facial information in the collected images, the facial features are extracted based on the face model, and then compared with the person in the image library. Compare the feature values of the face, and return the recognition results to the HT32 chip and the host computer for us to view the temperature measurement results. The following is a physical picture of the overall work and an introduction to its functions.
3 A LED driver based on LED5000, BB+ topology
Using the third-party cloud platform Gizwits, we created an IoT application system based on ultra-low power consumption Nuleo STM32 L073
25 W LED street light based on STM32F101Rx with 80 W solar charger
ZigBee Capsense Dimmer Reference Design with EM3587, EFM8SB1 and PCB Antenna
HB LED based on STP16CP05 without diagnostics (32 Led)