a 3.7V lithium battery, a battery management circuit, a micro USB interface, and a 1.3 TFT display. This module comes with some GPIO pins which are used for connecting an on-board BME280 sensor. But this sensor will get hot on the module, thus the manufacturer decided to eliminate...
pixformat_t pixformat; camera_status_t status; int xclk_freq_hz; // Sensor function pointers int (*init_status) (sensor_t *sensor); // 初始化相机传感器 int (*reset) (sensor_t *sensor); // 设置相机模块的像素模式 int (*set_pixformat) (sensor_t *sensor, pixformat_t pixformat); // ...
human_sensor true/false enable/disable human sensor warning_mail true/false send image with e-mail if unknown faces have been detected(and there is no face which is registered) mail_addr [address string] destination email address to which warning email is sentAbout...
In this project, we're going to make a motion sensor detector with photo capture using an ESP32-CAM. When your PIR sensor detects motion, it wakes up, takes a photo and saves it in the microSD card.
Build a Wi-Fi remote controlled car robot with the ESP32-CAM board. Control the robot using a web server that displays a video streaming of what the robot “sees”.
Machine Learning AI can be used to further discriminate whether to save a recording when motion detection has occurred by classsifying whether the object in the frame is of interest, eg a human, type of animal, vehicle etc. Only feasible on ESP32S3 due to memory use and built in AI Acce...
Learn how to take photos with the ESP32-CAM board and save them to a microSD card using Arduino IDE. We'll be using the ESP32-CAM board labelled as AI-Thinker module
Machine Learning AI can be used to further discriminate whether to save a recording when motion detection has occurred by classsifying whether the object in the frame is of interest, eg a human, type of animal, vehicle etc.Only feasible on ESP32S3 due to memory use and built in AI ...
Machine Learning AI can be used to further discriminate whether to save a recording when motion detection has occurred by classsifying whether the object in the frame is of interest, eg a human, type of animal, vehicle etc. Only feasible on ESP32S3 due to memory use and built in AI Acce...
Machine Learning AI can be used to further discriminate whether to save a recording when motion detection has occurred by classsifying whether the object in the frame is of interest, eg a human, type of animal, vehicle etc. Only feasible on ESP32S3 due to memory use and built in AI Acce...