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Waveshare OV5693 5MP USB Camera (B), Fixed-focus, Auto Focusing
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SKU: TES-EVN2095
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Waveshare OV5693 5MP USB Camera (B), Fixed-focus, Auto Focusing
The Waveshare OV5693 5MP USB Camera (B) is a high-resolution imaging module featuring a 5-megapixel OmniVision sensor with fixed-focus and auto-focusing capabilities, designed for embedded vision systems, robotics, and machine learning applications. Professional developers, computer vision engineers, and IoT system integrators rely on this camera module to capture detailed images for object detection, facial recognition, and quality control automation. This module solves the critical challenge of integrating reliable, high-quality visual input into Linux-based single-board computers and embedded systems where USB connectivity and intelligent focus adjustment are essential requirements.
Product Overview
The Waveshare OV5693 utilizes a 1/4-inch OmniVision OV5693 CMOS sensor that delivers 5-megapixel resolution at 2592x1944 pixels, providing exceptional clarity for detailed image capture and analysis. The camera operates through a standard USB 2.0 interface, eliminating the need for complex ribbon cable connections and making it compatible with Raspberry Pi, Jetson Nano, and standard Linux systems without additional driver installation. The dual-focus mechanism combines fixed-focus capability for consistent depth-of-field with auto-focusing functionality that dynamically adjusts lens position based on scene content, ensuring sharp images across varying distances from 10cm to infinity.
The module features a 67-degree field of view that balances wide scene capture with sufficient magnification for detailed subject analysis. Its 2-lane MIPI CSI-2 interface alternative and USB connectivity provide flexibility for different integration scenarios. The camera supports multiple image formats including JPEG and RAW output, enabling both real-time streaming and high-quality still image capture. Built-in image processing includes automatic white balance, exposure control, and color saturation adjustment, reducing the computational burden on host systems and enabling faster deployment of vision-based applications.
Key Specifications
| Specification | Details |
| Product Type | 5MP USB Camera Module with Auto-Focusing |
| Brand | Waveshare |
| 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 |
| Sensor | OmniVision OV5693 CMOS, 1/4-inch |
| Resolution | 5 Megapixels, 2592x1944 pixels |
| Focus Type | Fixed-focus with Auto-Focusing capability |
| Minimum Focus Distance | 10cm to infinity |
| Field of View | 67 degrees |
| Interface | USB 2.0 High-Speed |
| Frame Rate | 30 fps at 1080p, 15 fps at 5MP |
| Image Formats | JPEG, RAW, YUV |
Key Features
- 5-Megapixel OmniVision OV5693 sensor delivers 2592x1944 pixel resolution for detailed image capture in computer vision and surveillance applications
- Auto-Focusing mechanism with fixed-focus baseline ensures sharp images across varying subject distances from 10cm to infinity without manual adjustment
- USB 2.0 plug-and-play connectivity eliminates ribbon cable complexity and provides direct integration with Raspberry Pi, Jetson Nano, and standard Linux systems
- 67-degree field of view balances wide environmental context capture with sufficient magnification for object detection and facial recognition accuracy
- Built-in image processing with automatic white balance, exposure metering, and color saturation control reduces host processor computational overhead
- Support for multiple output formats including JPEG, RAW, and YUV enables flexibility for different machine learning frameworks and real-time processing pipelines
Applications and Use Cases
- Robotics and Autonomous Systems: Integration into mobile robots and autonomous vehicles for obstacle detection, path planning, and environmental mapping using real-time video stream processing
- Machine Learning and Computer Vision: Training and deployment of object detection, image classification, and pose estimation models on edge devices with high-resolution image input
- Industrial Quality Control: Automated visual inspection systems for manufacturing defect detection, dimensional verification, and product authentication in assembly line environments
- Facial Recognition and Biometric Systems: High-resolution face capture for identity verification, access control, and attendance tracking systems on embedded platforms
- Document and Barcode Scanning: Precision image capture for OCR applications, QR code reading, and document digitization in portable scanning solutions
- Surveillance and Security Monitoring: Integration into networked IP camera systems and edge-based security applications with intelligent motion detection and event logging
How to Use
Connect the Waveshare OV5693 camera to your Raspberry Pi, Jetson Nano, or Linux-based system using the provided USB cable. The camera is recognized automatically as a standard USB video device without requiring additional driver installation on most Linux distributions. Once connected, access the camera through standard V4L2 (Video4Linux2) interfaces using command-line tools like fswebcam or through Python libraries such as OpenCV. The auto-focusing feature activates automatically upon power-up; allow 2-3 seconds for the lens mechanism to complete its initial focus calibration before capturing images.
For optimal performance, position the camera at a distance appropriate to your application, typically 20cm to 50cm for face detection or 30cm to 100cm for general scene analysis. The fixed-focus baseline provides consistent depth-of-field, while the auto-focusing mechanism fine-tunes sharpness based on scene content. Configure image capture parameters through V4L2 controls or your application framework to set resolution, frame rate, and exposure modes. For machine learning applications, capture RAW format images for maximum color fidelity, or use JPEG format for bandwidth-constrained real-time streaming scenarios. Test focus accuracy in your target lighting conditions, as the auto-focus algorithm adapts to available ambient light.
Frequently Asked Questions
What is the difference between fixed-focus and auto-focusing in this camera?
The Waveshare OV5693 combines both technologies: the fixed-focus baseline provides a consistent depth-of-field sweet spot typically optimized for 30cm to infinity distances, ensuring reliable image capture without active focusing. The auto-focusing mechanism adds dynamic lens adjustment that fine-tunes sharpness based on scene content, improving image quality when subjects are at varying distances or when lighting conditions change. This hybrid approach balances simplicity with intelligent focus optimization.
Is this camera compatible with Raspberry Pi and Jetson Nano?
Yes, the OV5693 is fully compatible with Raspberry Pi 3B+, 4, and Jetson Nano through USB 2.0 connection. It appears as a standard USB video device and works with OpenCV, fswebcam, and other V4L2-based software without additional driver installation. For Raspberry Pi CSI ribbon cable integration, you would need the MIPI CSI-2 variant instead of the USB version.
What frame rates can this camera achieve at different resolutions?
The OV5693 achieves 30 fps at 1080p (1920x1080) resolution, 15 fps at full 5MP (2592x1944) resolution, and higher frame rates at lower resolutions. Frame rate depends on your USB bandwidth, host processor capabilities, and software configuration. For real-time object detection, 1080p at 30fps provides excellent balance between resolution and processing speed on embedded systems.
How do I control the auto-focus function programmatically?
The auto-focus operates automatically and continuously adjusts based on scene content. You can control focus behavior through V4L2 controls using command-line tools like v4l2-ctl or through OpenCV's VideoCapture properties. Some parameters like focus distance range and auto-focus sensitivity can be adjusted, but the module is designed for automatic operation without manual focus adjustment in most applications.
What lighting conditions work best with this camera?
The OV5693 performs optimally in indoor lighting (500-2000 lux) and bright outdoor conditions (5000+ lux). The auto-focus mechanism adapts to varying light levels, and the built-in exposure metering handles moderate lighting variations. For low-light applications below 100 lux, consider adding supplemental infrared or LED lighting, as the sensor's sensitivity decreases in darkness and auto-focus accuracy may be affected.
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 Waveshare OV5693 5MP USB Camera (B), Fixed-focus, Auto Focusing Online in India
Purchase the Waveshare OV5693 5MP USB Camera (B), Fixed-focus, Auto Focusing 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 Waveshare OV5693 5MP USB Camera (B), Fixed-focus, Auto Focusing with fast shipping and expert support.
Our team in Bengaluru
Waveshare OV5693 5MP USB Camera (B), Fixed-focus, Auto Focusing
The Waveshare OV5693 5MP USB Camera (B) is a high-resolution imaging module featuring a 5-megapixel OmniVision sensor with fixed-focus and auto-focusing capabilities, designed for embedded vision systems, robotics, and machine learning applications. Professional developers, computer vision engineers, and IoT system integrators rely on this camera module to capture detailed images for object detection, facial recognition, and quality control automation. This module solves the critical challenge of integrating reliable, high-quality visual input into Linux-based single-board computers and embedded systems where USB connectivity and intelligent focus adjustment are essential requirements.
Product Overview
The Waveshare OV5693 utilizes a 1/4-inch OmniVision OV5693 CMOS sensor that delivers 5-megapixel resolution at 2592x1944 pixels, providing exceptional clarity for detailed image capture and analysis. The camera operates through a standard USB 2.0 interface, eliminating the need for complex ribbon cable connections and making it compatible with Raspberry Pi, Jetson Nano, and standard Linux systems without additional driver installation. The dual-focus mechanism combines fixed-focus capability for consistent depth-of-field with auto-focusing functionality that dynamically adjusts lens position based on scene content, ensuring sharp images across varying distances from 10cm to infinity.
The module features a 67-degree field of view that balances wide scene capture with sufficient magnification for detailed subject analysis. Its 2-lane MIPI CSI-2 interface alternative and USB connectivity provide flexibility for different integration scenarios. The camera supports multiple image formats including JPEG and RAW output, enabling both real-time streaming and high-quality still image capture. Built-in image processing includes automatic white balance, exposure control, and color saturation adjustment, reducing the computational burden on host systems and enabling faster deployment of vision-based applications.
Key Specifications
| Specification | Details |
| Product Type | 5MP USB Camera Module with Auto-Focusing |
| Brand | Waveshare |
| 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 |
| Sensor | OmniVision OV5693 CMOS, 1/4-inch |
| Resolution | 5 Megapixels, 2592x1944 pixels |
| Focus Type | Fixed-focus with Auto-Focusing capability |
| Minimum Focus Distance | 10cm to infinity |
| Field of View | 67 degrees |
| Interface | USB 2.0 High-Speed |
| Frame Rate | 30 fps at 1080p, 15 fps at 5MP |
| Image Formats | JPEG, RAW, YUV |
Key Features
- 5-Megapixel OmniVision OV5693 sensor delivers 2592x1944 pixel resolution for detailed image capture in computer vision and surveillance applications
- Auto-Focusing mechanism with fixed-focus baseline ensures sharp images across varying subject distances from 10cm to infinity without manual adjustment
- USB 2.0 plug-and-play connectivity eliminates ribbon cable complexity and provides direct integration with Raspberry Pi, Jetson Nano, and standard Linux systems
- 67-degree field of view balances wide environmental context capture with sufficient magnification for object detection and facial recognition accuracy
- Built-in image processing with automatic white balance, exposure metering, and color saturation control reduces host processor computational overhead
- Support for multiple output formats including JPEG, RAW, and YUV enables flexibility for different machine learning frameworks and real-time processing pipelines
Applications and Use Cases
- Robotics and Autonomous Systems: Integration into mobile robots and autonomous vehicles for obstacle detection, path planning, and environmental mapping using real-time video stream processing
- Machine Learning and Computer Vision: Training and deployment of object detection, image classification, and pose estimation models on edge devices with high-resolution image input
- Industrial Quality Control: Automated visual inspection systems for manufacturing defect detection, dimensional verification, and product authentication in assembly line environments
- Facial Recognition and Biometric Systems: High-resolution face capture for identity verification, access control, and attendance tracking systems on embedded platforms
- Document and Barcode Scanning: Precision image capture for OCR applications, QR code reading, and document digitization in portable scanning solutions
- Surveillance and Security Monitoring: Integration into networked IP camera systems and edge-based security applications with intelligent motion detection and event logging
How to Use
Connect the Waveshare OV5693 camera to your Raspberry Pi, Jetson Nano, or Linux-based system using the provided USB cable. The camera is recognized automatically as a standard USB video device without requiring additional driver installation on most Linux distributions. Once connected, access the camera through standard V4L2 (Video4Linux2) interfaces using command-line tools like fswebcam or through Python libraries such as OpenCV. The auto-focusing feature activates automatically upon power-up; allow 2-3 seconds for the lens mechanism to complete its initial focus calibration before capturing images.
For optimal performance, position the camera at a distance appropriate to your application, typically 20cm to 50cm for face detection or 30cm to 100cm for general scene analysis. The fixed-focus baseline provides consistent depth-of-field, while the auto-focusing mechanism fine-tunes sharpness based on scene content. Configure image capture parameters through V4L2 controls or your application framework to set resolution, frame rate, and exposure modes. For machine learning applications, capture RAW format images for maximum color fidelity, or use JPEG format for bandwidth-constrained real-time streaming scenarios. Test focus accuracy in your target lighting conditions, as the auto-focus algorithm adapts to available ambient light.
Frequently Asked Questions
What is the difference between fixed-focus and auto-focusing in this camera?
The Waveshare OV5693 combines both technologies: the fixed-focus baseline provides a consistent depth-of-field sweet spot typically optimized for 30cm to infinity distances, ensuring reliable image capture without active focusing. The auto-focusing mechanism adds dynamic lens adjustment that fine-tunes sharpness based on scene content, improving image quality when subjects are at varying distances or when lighting conditions change. This hybrid approach balances simplicity with intelligent focus optimization.
Is this camera compatible with Raspberry Pi and Jetson Nano?
Yes, the OV5693 is fully compatible with Raspberry Pi 3B+, 4, and Jetson Nano through USB 2.0 connection. It appears as a standard USB video device and works with OpenCV, fswebcam, and other V4L2-based software without additional driver installation. For Raspberry Pi CSI ribbon cable integration, you would need the MIPI CSI-2 variant instead of the USB version.
What frame rates can this camera achieve at different resolutions?
The OV5693 achieves 30 fps at 1080p (1920x1080) resolution, 15 fps at full 5MP (2592x1944) resolution, and higher frame rates at lower resolutions. Frame rate depends on your USB bandwidth, host processor capabilities, and software configuration. For real-time object detection, 1080p at 30fps provides excellent balance between resolution and processing speed on embedded systems.
How do I control the auto-focus function programmatically?
The auto-focus operates automatically and continuously adjusts based on scene content. You can control focus behavior through V4L2 controls using command-line tools like v4l2-ctl or through OpenCV's VideoCapture properties. Some parameters like focus distance range and auto-focus sensitivity can be adjusted, but the module is designed for automatic operation without manual focus adjustment in most applications.
What lighting conditions work best with this camera?
The OV5693 performs optimally in indoor lighting (500-2000 lux) and bright outdoor conditions (5000+ lux). The auto-focus mechanism adapts to varying light levels, and the built-in exposure metering handles moderate lighting variations. For low-light applications below 100 lux, consider adding supplemental infrared or LED lighting, as the sensor's sensitivity decreases in darkness and auto-focus accuracy may be affected.
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 Waveshare OV5693 5MP USB Camera (B), Fixed-focus, Auto Focusing Online in India
Purchase the Waveshare OV5693 5MP USB Camera (B), Fixed-focus, Auto Focusing 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 Waveshare OV5693 5MP USB Camera (B), Fixed-focus, Auto Focusing with fast shipping and expert support.
Our team in Bengaluru