32 % தள்ளுபடி
AI-deck color camera module
The AI-deck color camera module is a compact, high-performance imaging sensor designed for embedded AI and machine vision applications on resource-constrained edge devices. Professional roboticists, drone developers, and embedded systems engineers use this module to enable real-time computer vision processing with minimal power consumption and latency. This product solves the critical challenge of integrating high-quality color image capture with onboard AI inference capabilities without requiring external processing units or cloud connectivity.
Product Overview
The AI-deck color camera module features a low-resolution, high-efficiency OV7670 compatible sensor optimized for edge AI applications. It operates on a parallel interface architecture that streams raw pixel data directly to FPGA or microcontroller processing units, enabling real-time image analysis for object detection, gesture recognition, and environmental monitoring. The module integrates color Bayer filtering with automatic white balance and exposure control, delivering consistent image quality across varying lighting conditions while maintaining ultra-low power draw suitable for battery-powered autonomous systems.
This module distinguishes itself through its exceptional integration with AI accelerators and edge computing platforms, particularly the Crazyflie ecosystem and custom embedded vision projects. The compact form factor measures approximately 20x20mm, making it ideal for space-constrained applications like micro-drones and wearable devices. Its QVGA resolution capability paired with configurable frame rates enables developers to balance computational load with visual fidelity, critical for real-time AI inference on processors with limited memory bandwidth.
Key Specifications
| Specification | Details |
| Product Type | Color Camera Module for AI and Edge Computing |
| Brand | Bitcraze AI-deck Compatible |
| Origin | Original/Authentic |
| Warranty | 7 days on manufacturing defects |
| Shipping | 1-5 days from Bengaluru |
| Delivery | 7-8 days across India |
| Support | 24/7 via Email and WhatsApp |
| Image Sensor | OV7670 CMOS Color Sensor |
| Resolution | QVGA 320x240 pixels maximum |
| Output Format | 8-bit RGB565 or RAW Bayer |
| Frame Rate | 30 fps at QVGA, configurable down to 1 fps |
| Power Consumption | Typical 50-100mA at 3.3V during operation |
| Interface | 8-bit parallel data bus with control signals |
| Operating Voltage | 3.3V DC |
| Field of View | Approximately 60 degrees horizontal |
Key Features
- Ultra-compact 20x20mm form factor enabling integration into micro-aerial vehicles and miniature robotic platforms with severe space constraints
- Native RGB color output with automatic white balance and exposure control for consistent image quality across diverse lighting environments without software calibration
- Configurable frame rates from 1 to 30 fps allowing developers to optimize power consumption and computational load based on specific AI inference requirements
- Direct parallel interface architecture eliminating USB overhead and enabling deterministic latency critical for real-time autonomous decision-making systems
- Low power consumption of 50-100mA enabling extended battery operation on edge AI platforms and IoT devices
- Raw Bayer output mode for advanced image processing pipelines and custom demosaicing algorithms in machine vision applications
Applications and Use Cases
- Autonomous micro-drones and quadcopters requiring onboard visual navigation and obstacle detection using edge AI without ground station communication
- Robotic vision systems for gesture recognition and human-robot interaction in collaborative manufacturing environments with real-time processing constraints
- Mobile robotics platforms implementing SLAM algorithms and visual odometry for indoor navigation in GPS-denied environments
- Industrial inspection drones performing defect detection and quality assurance using embedded neural networks for immediate decision-making
- Wearable AI devices and smart glasses requiring low-power color imaging for augmented reality applications and activity recognition
- Research platforms for computer vision algorithm development and machine learning model optimization on embedded edge devices
How to Use
To integrate the AI-deck color camera module, connect the parallel data bus pins to your microcontroller or FPGA development board, ensuring proper voltage levels at 3.3V. Configure the camera control pins including PCLK (pixel clock), HREF (horizontal reference), VSYNC (vertical synchronization), and the 8-bit data lines D0-D7. Initialize the camera registers via the I2C control interface to set resolution, frame rate, and color space output format matching your AI inference pipeline requirements. Implement a frame buffer in your processor memory to capture complete image frames, typically requiring 153KB for QVGA RGB565 format, then feed the captured images directly to your neural network inference engine or computer vision library.
For optimal performance, ensure your microcontroller or FPGA can sustain the pixel clock frequency (typically 24MHz at QVGA 30fps) and implement proper synchronization logic to capture complete frames without tearing artifacts. Configure the PCLK divider and exposure settings based on ambient lighting conditions, and utilize the raw Bayer output mode if your AI model expects demosaiced color processing. Test frame capture with simple edge detection or color thresholding algorithms before deploying complex neural network inference to verify data integrity and timing synchronization.
Frequently Asked Questions
What is the difference between RGB565 and RAW Bayer output modes?
RGB565 mode provides pre-processed color data with each pixel encoded as 5 bits red, 6 bits green, 5 bits blue in 16-bit words, reducing memory bandwidth by 33% compared to 24-bit RGB888. RAW Bayer mode outputs unprocessed sensor data with alternating color filters, requiring software demosaicing but enabling custom white balance and color correction algorithms. Choose RGB565 for real-time AI inference with memory constraints, and RAW Bayer for advanced image processing pipelines requiring maximum color fidelity.
Can this camera module work with standard microcontrollers like Arduino?
While technically possible, standard Arduino boards lack sufficient RAM and processing speed for real-time QVGA frame capture and AI inference. The module requires at least 153KB contiguous memory for frame buffering and microcontrollers with clock speeds above 100MHz. Recommended platforms include STM32H7 series, ESP32-S3, or FPGA boards like iCEBreaker. Bitcraze Crazyflie 2.1 and AI-deck bundles provide pre-integrated firmware and example code for immediate deployment.
What is the power consumption during continuous operation?
The camera module typically consumes 50-100mA at 3.3V during continuous operation, translating to 165-330mW. Actual consumption varies based on frame rate, resolution, and sensor processing load. At lower frame rates (5-10 fps), consumption drops to 30-50mA. Battery-powered systems should budget for sustained operation and implement frame rate throttling during idle periods to extend runtime on small capacity batteries typical in micro-drones.
Does the module support automatic exposure and white balance?
Yes, the OV7670 sensor includes hardware automatic exposure control and automatic white balance circuits that adjust sensor parameters in real-time based on scene luminance and color temperature. These features are enabled by default and can be fine-tuned via I2C register configuration. For applications requiring manual control or specialized exposure modes, you can disable automatic features and implement custom exposure algorithms in firmware.
When will I receive my order?
Orders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.
What is your return and warranty policy?
We offer a 7-day return policy on manufacturing defects only. Contact support within 7 days of receipt for free replacement or full refund. Not applicable for user damage or misuse.
Are bulk discounts available?
Yes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.
Why Buy from The Engineer Store
- Genuine Products: Sourced directly from authorized distributors with authentication
- Expert Team: Our technical team validates every product before listing
- Fast Shipping: Dispatched within 1-5 days from our Bengaluru warehouse
- Pan-India Delivery: 7-8 days to Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata
- Payment Options: COD, UPI, credit/debit cards, net banking, EMI available
- Technical Support: 24/7 expert guidance via email and WhatsApp
- Returns: 7-day return policy on manufacturing defects only
Buy AI-deck color camera module Online in India
Purchase the AI-deck color camera module online at The Engineer Store, India's trusted source for genuine electronics. We deliver across Bengaluru, Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata, Ahmedabad, Jaipur, and Surat. Get the best price on AI-deck color camera module with fast shipping and expert support.
Our team in Bengaluru is available 24/7 to support your journey from product selection to project completion.
AI-deck color camera module
The AI-deck color camera module is a compact, high-performance imaging sensor designed for embedded AI and machine vision applications on resource-constrained edge devices. Professional roboticists, drone developers, and embedded systems engineers use this module to enable real-time computer vision processing with minimal power consumption and latency. This product solves the critical challenge of integrating high-quality color image capture with onboard AI inference capabilities without requiring external processing units or cloud connectivity.
Product Overview
The AI-deck color camera module features a low-resolution, high-efficiency OV7670 compatible sensor optimized for edge AI applications. It operates on a parallel interface architecture that streams raw pixel data directly to FPGA or microcontroller processing units, enabling real-time image analysis for object detection, gesture recognition, and environmental monitoring. The module integrates color Bayer filtering with automatic white balance and exposure control, delivering consistent image quality across varying lighting conditions while maintaining ultra-low power draw suitable for battery-powered autonomous systems.
This module distinguishes itself through its exceptional integration with AI accelerators and edge computing platforms, particularly the Crazyflie ecosystem and custom embedded vision projects. The compact form factor measures approximately 20x20mm, making it ideal for space-constrained applications like micro-drones and wearable devices. Its QVGA resolution capability paired with configurable frame rates enables developers to balance computational load with visual fidelity, critical for real-time AI inference on processors with limited memory bandwidth.
Key Specifications
| Specification | Details |
| Product Type | Color Camera Module for AI and Edge Computing |
| Brand | Bitcraze AI-deck Compatible |
| Origin | Original/Authentic |
| Warranty | 7 days on manufacturing defects |
| Shipping | 1-5 days from Bengaluru |
| Delivery | 7-8 days across India |
| Support | 24/7 via Email and WhatsApp |
| Image Sensor | OV7670 CMOS Color Sensor |
| Resolution | QVGA 320x240 pixels maximum |
| Output Format | 8-bit RGB565 or RAW Bayer |
| Frame Rate | 30 fps at QVGA, configurable down to 1 fps |
| Power Consumption | Typical 50-100mA at 3.3V during operation |
| Interface | 8-bit parallel data bus with control signals |
| Operating Voltage | 3.3V DC |
| Field of View | Approximately 60 degrees horizontal |
Key Features
- Ultra-compact 20x20mm form factor enabling integration into micro-aerial vehicles and miniature robotic platforms with severe space constraints
- Native RGB color output with automatic white balance and exposure control for consistent image quality across diverse lighting environments without software calibration
- Configurable frame rates from 1 to 30 fps allowing developers to optimize power consumption and computational load based on specific AI inference requirements
- Direct parallel interface architecture eliminating USB overhead and enabling deterministic latency critical for real-time autonomous decision-making systems
- Low power consumption of 50-100mA enabling extended battery operation on edge AI platforms and IoT devices
- Raw Bayer output mode for advanced image processing pipelines and custom demosaicing algorithms in machine vision applications
Applications and Use Cases
- Autonomous micro-drones and quadcopters requiring onboard visual navigation and obstacle detection using edge AI without ground station communication
- Robotic vision systems for gesture recognition and human-robot interaction in collaborative manufacturing environments with real-time processing constraints
- Mobile robotics platforms implementing SLAM algorithms and visual odometry for indoor navigation in GPS-denied environments
- Industrial inspection drones performing defect detection and quality assurance using embedded neural networks for immediate decision-making
- Wearable AI devices and smart glasses requiring low-power color imaging for augmented reality applications and activity recognition
- Research platforms for computer vision algorithm development and machine learning model optimization on embedded edge devices
How to Use
To integrate the AI-deck color camera module, connect the parallel data bus pins to your microcontroller or FPGA development board, ensuring proper voltage levels at 3.3V. Configure the camera control pins including PCLK (pixel clock), HREF (horizontal reference), VSYNC (vertical synchronization), and the 8-bit data lines D0-D7. Initialize the camera registers via the I2C control interface to set resolution, frame rate, and color space output format matching your AI inference pipeline requirements. Implement a frame buffer in your processor memory to capture complete image frames, typically requiring 153KB for QVGA RGB565 format, then feed the captured images directly to your neural network inference engine or computer vision library.
For optimal performance, ensure your microcontroller or FPGA can sustain the pixel clock frequency (typically 24MHz at QVGA 30fps) and implement proper synchronization logic to capture complete frames without tearing artifacts. Configure the PCLK divider and exposure settings based on ambient lighting conditions, and utilize the raw Bayer output mode if your AI model expects demosaiced color processing. Test frame capture with simple edge detection or color thresholding algorithms before deploying complex neural network inference to verify data integrity and timing synchronization.
Frequently Asked Questions
What is the difference between RGB565 and RAW Bayer output modes?
RGB565 mode provides pre-processed color data with each pixel encoded as 5 bits red, 6 bits green, 5 bits blue in 16-bit words, reducing memory bandwidth by 33% compared to 24-bit RGB888. RAW Bayer mode outputs unprocessed sensor data with alternating color filters, requiring software demosaicing but enabling custom white balance and color correction algorithms. Choose RGB565 for real-time AI inference with memory constraints, and RAW Bayer for advanced image processing pipelines requiring maximum color fidelity.
Can this camera module work with standard microcontrollers like Arduino?
While technically possible, standard Arduino boards lack sufficient RAM and processing speed for real-time QVGA frame capture and AI inference. The module requires at least 153KB contiguous memory for frame buffering and microcontrollers with clock speeds above 100MHz. Recommended platforms include STM32H7 series, ESP32-S3, or FPGA boards like iCEBreaker. Bitcraze Crazyflie 2.1 and AI-deck bundles provide pre-integrated firmware and example code for immediate deployment.
What is the power consumption during continuous operation?
The camera module typically consumes 50-100mA at 3.3V during continuous operation, translating to 165-330mW. Actual consumption varies based on frame rate, resolution, and sensor processing load. At lower frame rates (5-10 fps), consumption drops to 30-50mA. Battery-powered systems should budget for sustained operation and implement frame rate throttling during idle periods to extend runtime on small capacity batteries typical in micro-drones.
Does the module support automatic exposure and white balance?
Yes, the OV7670 sensor includes hardware automatic exposure control and automatic white balance circuits that adjust sensor parameters in real-time based on scene luminance and color temperature. These features are enabled by default and can be fine-tuned via I2C register configuration. For applications requiring manual control or specialized exposure modes, you can disable automatic features and implement custom exposure algorithms in firmware.
When will I receive my order?
Orders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.
What is your return and warranty policy?
We offer a 7-day return policy on manufacturing defects only. Contact support within 7 days of receipt for free replacement or full refund. Not applicable for user damage or misuse.
Are bulk discounts available?
Yes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.
Why Buy from The Engineer Store
- Genuine Products: Sourced directly from authorized distributors with authentication
- Expert Team: Our technical team validates every product before listing
- Fast Shipping: Dispatched within 1-5 days from our Bengaluru warehouse
- Pan-India Delivery: 7-8 days to Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata
- Payment Options: COD, UPI, credit/debit cards, net banking, EMI available
- Technical Support: 24/7 expert guidance via email and WhatsApp
- Returns: 7-day return policy on manufacturing defects only
Buy AI-deck color camera module Online in India
Purchase the AI-deck color camera module online at The Engineer Store, India's trusted source for genuine electronics. We deliver across Bengaluru, Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata, Ahmedabad, Jaipur, and Surat. Get the best price on AI-deck color camera module with fast shipping and expert support.
Our team in Bengaluru is available 24/7 to support your journey from product selection to project completion.