Use ESP32S3 to develop a general module with speech recognition and visual recognition functions. It is mainly used for education, science and technology competitions, and creative design of DIY enthusiasts. The interface and functions are compatible with OpenMV, and its IDE can be used as development and debugging software. Most of the overall hardware design is compatible with ESP32S-EYE, so with a little adjustment of the interface definition, it can be compatible with ESP-WHO. ESP-WHO provides examples such as face detection, face recognition, cat face detection and gesture recognition, thus making this software The module is very playable.
Whether during construction or in use, civil construction projects require real-time health monitoring of the building structure, such as inclination changes, wall subsidence displacement, support pressure, concrete solidification temperature...
Traditional monitoring methods generally use on-site Wiring, manual scheduled patrols, and on-site reading with handheld instruments, the use of IoT technology is seriously insufficient. Therefore, this project will use LoRa networking and IoT technology to implement wireless and automated building monitoring applications.
This work, titled "Two Degrees of Freedom Pan-Tilt Robot Control Platform", implements a complete pan-tilt robot control platform. The system uses motion sensors as control handles to control the movement of the robot, and cooperates with the OLED screen to display the system's Current status. Using the control handle, you can control the movement of the vertical axis servo through forward and backward movements, and control the movement of the horizontal axis servo through rotation operations, thereby realizing two degrees of freedom control of the robot.
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.
In the epidemic environment, people don't want to touch things outside, so we create a face recognition access control system that does not require contact. When it is detected that a person is approaching the door, the face recognition device is awakened to save power consumption. When the face recognition passes, the door is controlled to open.
The basic functions of USB-C are supported, such as high-speed communication and charging functions. Then this design solves the problem of painless switching between one host and multiple devices, or one device and multiple hosts.
Core64 combines real core memory and LEDs in a unique interactive way. Core Memory is a magnetic memory technology from the 1960s and 1970s. The tip of the stylus has a magnet that interacts with the LED through Core Memory. In practice, users can think of it as a magnetic touch screen
The analyzer host computer directly uses Wireshark. The hardware is implemented using Cypress CY7C68013A MCU + Lattice LCMXO2 FPGA + Microchip USB3343 USB PHY
2-layer PCB 9 x 11.4 mm FR-4, 1 mm, 1, HASL with leads, blue solder mask, white silkscreen; very small buffer for WS2813 LED strip.
2 Layers PCB 10 x 16.5 mm FR-4, 1 mm, 1, HASL with lead, White Solder Mask, Black silkscreen; WS2813 buffer and repeater for long range serial transmission
2 Layers PCB 52 x 96.3 mm FR-4, 1.6 mm, 1, HASL with lead, Blue Solder Mask, White silkscreen; A device for women safety, equipped with GSM and GPS modules for location tracking.
2 Layers PCB 38 x 41 mm FR-4, 1.6 mm, 1, HASL with lead, Green Solder Mask, White silkscreen;
2 Layers PCB 56.6 x 83.1 mm FR-4, 1.6 mm, 1, HASL with lead, Green Solder Mask, White silkscreen;
Wireless Communication with NRF24 and Arduino Pro Micro
2-layer PCB 46 x 75 mm FR-4, 1.6 mm, 1, HASL with leads, black solder mask, white silk screen; With this simple circuit you can make a wireless people counter.
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