WiCAN is a powerful CAN adapter based on ESP32-C3 that can be used for car hacking and general CAN bus development. It is available in two form factors: OBD-II and standard USB-CAN. The original firmware can interact directly with RealDash using Wi-Fi or BLE, which allows you to create custom dashboards with beautiful graphics. It is available for Android, iOS, and Windows 10. WiCAN connects to your existing Wi-Fi network and any device on that network, and it allows you to configure Wi-Fi and CAN settings through a built-in web interface. Both versions have a power saving mode that detects when the voltage drops below 13 V or other preset values. When this power saving mode is enabled, WiCAN is able to enter sleep mode, reducing the current consumption to less than 1 mA.
Although the common Bluetooth speakers on the market are relatively cheap, their sound quality is far from satisfactory and cannot meet people's pursuit of high-quality sound. The fundamental reason is that the Bluetooth speaker box is too small and the speaker is too small, resulting in a serious lack of bass; the resonance of the plastic box causes muddy sound; the speaker is too close and the near-field sound is too narrow, etc. This design reference integrates the MaxxAudio sound enhancement chip NPCA110P, which greatly improves the problems of muddy sound, insufficient bass, and narrow near-field sound.
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.
This design is an intelligent desktop interactive robot. As the name suggests, it is an intelligent robot that can interact with people. A 2.4-inch LCD screen is used as an important channel for human-computer information interaction. It also has voice recognition and sound playback functions, making contactless interaction more convenient. The interface design adopts the open source LVGL 8 GUI framework and uses ESP32S3 as the main control chip. The current regional temperature can be displayed on the interface, and the sound can be broadcast through voice interaction. It also displays the dynamics of the EEWORLD forum, including the display of the daily number of posts and the total number of posts. Through voice interaction, the voice broadcast of the total number of posts can also be obtained. . And the onboard LED lights can be controlled by voice.
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.
2 Layers PCB 38 x 41 mm FR-4, 1.6 mm, 1, HASL with lead, Green Solder Mask, White silkscreen;
Wireless Communication with NRF24 and Arduino Pro Micro
2 Layers PCB 100 x 100 mm FR-4, 1.6 mm, 1, HASL with lead, Black Solder Mask, White silkscreen; This card is part of the chassis to build a wireless car controlled with the RX480 RF module.
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.
A tiny potable remote that can be customized to do different tasks using touch functionalities of ESP32
This is a prototype board for use with ESP8266, ESP32 and ESP32-S2 modules. The board is divided into areas that can be cut and then put together to build advanced IoT prototypes. After cutting as shown in the picture, you can start assembling the IoT device.