ESP32 P4C5-Cam AI Vision Module
- Dual-chip ESP32-P4 + ESP32-C5 architecture
- 2MP HD camera with 123° field of view
- Pre-flashed firmware with high-FPS Wi-Fi streaming (AP and STA modes) and 10+ offline vision functions
- Type-C port plus I2C and UART interfaces, reset and programmable buttons
- Tutorials for STM32, ESP32, Arduino and Raspberry Pi, plus ESP-IDF and Arduino IDE code
- Free high-gain antenna, up to 40m video range in open space
- Compact 27×42×19mm, 14g
- Single standard model, with the external antenna included
- Trusted dealerDirect manufacturer partnership
- Pan-India deliveryInsured shipping, all states
- Post-sale supportTraining + service included
What makes it work
ESP32 P4C5-Cam Vision Recognition Module Wireless Wi-Fi HD Video Transmission & Open-Source AI Camera Sensor
Built for demanding edge AI applications, the Hiwonder ESP32 P4C5-Cam features a heterogeneous ESP32-P4 + ESP32-C5 dual-chip architecture with a 2MP HD camera and pre-flashed firmware for out-of-the-box high-FPS Wi-Fi video streaming and 10+ offline vision functions.
Product Description
Built for demanding edge AI applications, the Hiwonder ESP32 P4C5-Cam features a heterogeneous ESP32-P4 + ESP32-C5 dual-chip architecture—the P4 core drives complex vision algorithms, while the C5 core serves as a high-speed wireless hub for stable data transmission. Equipped with a 2MP HD camera and pre-flashed firmware, it delivers out-of-the-box high-FPS Wi-Fi video streaming and 10+ offline vision functions. The carrier board integrates a Type-C port for power and flashing, alongside standard I2C and UART interfaces for plug-and-play expansion. Official tutorials for STM32, ESP32, Arduino, and Raspberry Pi are provided to fast-track your AI vision projects.
Key Features & Applications


Dual-Chip Architecture, Doubled Performance
The synergistic ESP32 P4 + C5 architecture delivers a major performance leap. Parallel task scheduling keeps heavy computing and high-speed wireless transmission completely interference-free for reliable output in complex scenarios.

High-FPS Wi-Fi Video Streaming
Supports both AP and STA modes. Connect via a Wi-Fi hotspot to monitor live HD camera feeds in real time through a web browser or mobile app.

ESP-IDF & Arduino Development
Includes full setup guides and AI recognition source code for ESP-IDF, plus demo programs and camera SDKs for Arduino IDE to jumpstart secondary development.
Hardware Features


Dual Communication Interfaces
Onboard Type-C and I2C/UART ports support dual communication modes to output and print face detection, color recognition coordinates, and other parameters.

2MP HD Camera
All-new 2MP HD camera with a high-sensitivity, low-power CMOS sensor delivers crisp, clear imagery.

Onboard Reset & Custom Buttons
Features a reset button and a programmable button for custom control.

Firmware Upgrade Support
Connect to a PC via the onboard Type-C port for fast firmware updates, flashing, and debugging.

Compact & Sleek Design
Measuring just 27×42mm, the ultra-compact module fits diverse scenarios and creative AI projects.

High-Quality Antenna Included
Comes with a free high-gain external antenna for enhanced signal stability, anti-interference, and penetration—enabling video transmission up to 40m in open spaces.
Compatible with Various Controllers
Connects seamlessly to STM32, ESP32, Arduino, and Raspberry Pi controllers, complete with development tutorials, detailed sample code, and debugging software for easy learning and development.




Two Working Modes


Versatile Applications

Top-Selling Vision Modules

Packing List

Technical Specifications
| Camera | 2MP, field of view 123° |
|---|---|
| Antenna type | Onboard PCB antenna with 2dB gain |
| Power supply | 4.75V–5.25V |
| Storage environment | -40°C to 125°C, >90% RH |
| RAM | 768KB internal + 32MB in-package PSRAM |
| UART baud rate | Default 115200bps |
| Wi-Fi | IEEE 802.11 a/b/g/n/ac/ax |
| Number of IO pins | 9 |
| Dimensions | 27×42×19mm |
| Package | DIP-16 |
| Operating temperature | -20°C to 70°C |
| SPI Flash | 16MB external |
| Bluetooth | Bluetooth 5 / 6.0 (LE) |
| Image output format | JPEG, H.264, RGB565/888, YUV422/420, RAW |
| Supported interfaces | UART, I2C |
| Frequency range | 2412–2484MHz, 5180–5885MHz |
| Weight | 14g |
Frequently Asked Questions
What chips does the ESP32 P4C5-Cam use?
It uses a dual-chip architecture: the ESP32-P4 core drives complex vision algorithms, while the ESP32-C5 core serves as a high-speed wireless hub for stable data transmission.
How does it stream video?
It supports both AP and STA modes. Connect via a Wi-Fi hotspot to monitor live HD camera feeds in real time through a web browser or mobile app.
What interfaces does the carrier board provide?
The carrier board has a Type-C port for power and flashing, plus standard I2C and UART interfaces, a reset button, and a programmable button.
Which development platforms are supported?
Official tutorials are provided for STM32, ESP32, Arduino, and Raspberry Pi, with ESP-IDF source code and Arduino IDE demo programs and camera SDKs.
How far can the video be transmitted?
With the included high-gain external antenna, video transmission reaches up to 40m in open spaces.




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