16-bit, 300 kSPS low-power data acquisition system optimized for sub-Nyquist frequency input signals up to 4 kHz
Digital MEMS microphone expansion board based on MP34DT06J for STM32 Nucleo
This reference design provides design guidelines, data, and more for a 1.6kW AC-DC converter power supply using a T-type three-level power factor correction (PFC) circuit.
Using the wearable sensor function of SensorTile.box, you can intuitively observe your movements and training conditions through curves when doing push-ups and planks.
Adapter board for standard DIL24 socket based on LSM6DSOX and LIS2MDL in sensor hub mode
Multifunctional expansion board for STM32 Nucleo, based on op amps
Dual-channel colorimeter with programmable gain transimpedance amplifier and synchronous detector
LSM330D adapter board for standard DIL24 socket
LSM330DLC adapter board for standard DIL24 socket
Low-side current sensing based on TS507
Every house has a doorbell. When a visitor arrives at a home, he looks for the doorbell switch and rings it to let us know his presence. What if a person coming to your home cannot find the doorbell, or the person is too short to reach the doorbell? The object detection circuit installation below is for reference. The circuit will automatically sense the presence of a person and ring the doorbell.
This work monitors the child's sitting posture when writing. When the child sits upright, no prompt is generated. When the child lowers his head, the sensor light flashes to signal an alarm!
This project uses the LSM6DSOX+STEVAL-MKI109V3 mode for preliminary sensor learning and research, mainly from training the acceleration sensor to detect vibration and recording vibration waveforms, training the gyroscope sensor to detect the vibration direction and offset, and recording the waveform for analysis; combined with the acceleration sensor and the action data of the gyroscope sensor can determine the vibration intensity and direction of the wind turbine tower under various working conditions; in practical applications, the LSM6DSOX sensor is combined with the low-power chip STM32L010RBT6 chip, and the main control board on the local side leads to an alarm relay. The outlet is used for alarm output on the wind turbine tower side. It is connected to the wind turbine scada system through 485 serial port communication to upload the recorded data on the local side to provide real-time feedback on the working status of the wind turbine tower. It can be used to analyze the vibration reverse and wind turbine tower vibration. Swing direction recording can also record and analyze the natural frequency of the wind turbine tower under normal conditions and the natural frequency during faults. The multi-faceted data forms a wind turbine tower disaster warning system that can be sensed in advance;
Ultra-stable 3-axis gyroscope based on L3GD20
ASM330LHH adapter board for standard DIL24 socket
Touch Remote Powered by CapTIvate™ Technology demonstrates a capacitive touch solution using a single MSP430™ microcontroller (MCU) with CapTIvate technology. This design uses self- and mutual-capacitance technology to enable multifunctional capacitive touch panels (buttons, sliders, gesture pads, grip sensors, and proximity sensors) for smart TVs, set-top boxes, and remote applications in sound systems in the future. Application expansion with various available communication interfaces. This design allows operators to extend battery life through low-power active and standby modes.
The STEVAL-MKI216V1K evaluation board has an embedded IIS3DHHC 3D accelerometer sensor, which is connected via cable to a simple adapter board (STEVAL-MKIGIBV5) to render it compatible with STEVAL-MKI109V3 motherboards.
This reference design uses multiple microphones, a beamforming algorithm, and other processes to extract clear speech and audio amidst noise and other clutter. The rapid increase in applications that are used in noise-prone environments for voice activated digital assistants creates demand for systems that extract clear voice from noisy environments. The reference design uses a microphone array and a sophisticated signal processing to extract clear audio from noisy environments.