- The Esp32 camera module weighs only 27 x 40.5 mm and allows low power consumption with deep sleep mode, the ultra-small structure makes it suitable for projects that use limited volume. It is also equipped with an extensive OV2640 Camera Module which can effortlessly capture 2MP videos and photos for real-time image processing and streaming. Not to mention, the performance of the integrated ESP32 module that supports the development of Artificial intelligence-fueled IoT applications with both Wifi and Bluetooth.
- The mini shape is followed extensively to allow for project area constraints. Some evidence of this is found by looking at the RAM which is 520KB SRAM plus 4MB PSRAM and flash storage that allows vast amounts of data to be captured through the deep sleep TF Module. The data is preserved through an onboard capture enabling and powering the module while allowing it to receive information
- Integration and programming that come with Arduino IDEs and ESP are task-free due to the individual architecture allowing smooth operations without conflicts.
- Consists of two cameras OV2640 2 VERSION that supports a maximum capture of 1600 by 1200 pixels
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Description
Specifications
| Specification | Details |
|---|---|
| Microcontroller | ESP32-S chip with dual-core processor |
| Wireless Communication | WiFi: 802.11 b/g/n, Bluetooth: Bluetooth 4.2 BR/EDR and BLE |
| Camera | OV2640 2MP with a max resolution of 1600x1200 pixels |
| Flash | 4 MB |
| RAM | 520 KB SRAM + 4 MB PSRAM |
| Operating Voltage | 3.3V |
| Input Voltage | 5V via onboard connector |
| GPIO Pins | Up to 9 usable GPIOs |
| Interfaces | UART, SPI, I2C, PWM |
| Storage | TF card slot supports up to 4 GB |
| Dimensions | 27 x 40.5 mm |
Features
- Esp cameras include but are not limited to: low power deep sleep mode, real-time and video image capturing, and steaming.
- Seamless connection with a variety of IoT systems including AWS, Azure, and Google IoT Core.
- Compatible with different languages including Arduino IDE, MicroPython, and ESP-IDF.
- Compact and lightweight for easy use in wearables or portable devices.
Applications
- Smart surveillance cameras and security systems.
- Home automation and IoT-enabled devices.
- AI-based image recognition and processing.
- Robotic and vision drones.
- DIY Doorbell cameras and pet monitoring devices.
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