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SKU/Artículo: AMZ-B0DX67X78P
Yahboom
Yahboom ESP32-S3 CAM Module 2MP Camera,ESP32-S3 Chip,Onboard Camera Wireless, Python C Code, Project Tutorial, with Remote Control APP (Separate Module)
Color:
Separate module
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
1.54 kg
1.54 kg
Devolución:
No
No
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- ESP32-S3 camera module Lite is an AI vision solution designed for DIY project development. Based on the ESP32-S3 chip, it integrates WiFi/Bluetooth, on board 2MP amera and antenna, some custom buttons, and provides serial and IIC interfaces. It can work independently as a minimum system board, or it can be installed on a smart car or robot with a 2DOF PTZ for real-time video transmission and AI visual recognition. ESP32-WiFi camera module can send out WiFi hotspots by itself to achieve real-time video transmission by LAN, and users can also connect it to their own router network. Yahboom provides some AI visual recognition routines, FPV control APP, and many tutorials for connecting and using with a variety of MCU.
U$S 48,93
55% OFF
U$S 22,24
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U$S 48,93
55% OFF
U$S 22,24
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High-performance ESP32-S3 chip and 2MP camera: Equipped with ESP32-S3 chip, it provides stable WI-FI connection and high-quality 2MP image transmission, provides remote control function of smart car, supports real-time video stream viewing, and realizes visual remote control operation. Dual-mode network connection: supports hotspot mode (AP mode) and client mode (STA mode), default hotspot mode, no existing WI-FI network is required, simple operation, and the transmission distance can reach 20 meters. Wide compatibility: Suitable for STM32, MSPM0G3507, BBCmicrobit, Ard-uino and other microcontrollers, and can also be connected to Raspberry-Pi, Jetson series, RDK and other main controllers through serial port. Multiple visual module options: Yahboom provides 4 visual modules to meet different development needs. For details, please see the product comparison chart. Provide code information: The underlying code is open source and suitable for users with programming foundation. The image transmission module is built using the ESP-IDF development environment, providing environment construction tutorials and AI recognition case source code
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