Wifi Camera Module ESP32-S3 Image Transmission For ROS Robot

Detailed Information About The Product:

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Wifi Camera Module ESP32-S3 Image Transmission FOR ROS Robot Car Trolley AI Visual Recognition Sensor Vision Recognition Camera
Title:wifi camera module ESP32-S3 image transmission ROS robot trolley Ai visual recognition sensor
The ESP32-S3 camera module is a cost-effective AI vision solution. It is developed based on the ESP32-S3 high-performance chip and supports Wi-Fi video streaming, color recognition, face recognition and line recognition.

The module integrates a 200W pixel camera, adopts industrial production technology, uses C/C++ programming, and is equipped with Type-C serial port, IIC interface and custom keys, providing convenient hardware interaction interface. In addition, we provide a rich microcontroller code routines, schematics and camera function development kit, provide a linux environment image, easy development and learning, for the majority of developers to provide a perfect remote AI vision solution!
Product name: ESP32-S3 Vision Module
Chip ESP32-S3
Display No display
Main frequency up to 240MHz
The maximum computing power is about 600DMIPS
Identification ton about 600
There is no operation interface
AI capabilities Built-in AI accelerators can be used for deep learning and model reasoning
Network connection Integrated 2.4 GHZ Wi-Fi(802.11b/g/n) capability + up to 150Mbps external independent antenna
WiFi image transfer is very smooth
Due to good image processing and AI support, the development is more flexible, suitable for developers with a certain programming foundation
Colour:black
Material:Plastic + Aluminum Alloy
Due to different product batches, the appearance may vary, which does not affect the use

Package Contents:
1 * ESP32-S3 Vision Module
1 * 4PIN Cable(20cm)
1 * USB Cable (100mm)

Only the above package content, other products are not included.
Note: Light reflection and different displays may cause the color of the item in the picture a little different from the real thing. The measurement allowed error is +/- 1-3cm.