Arducam UVC AI Camera Module Powered by IMX500 B0566
- [SMART] Edge AI Powered by Sony's IMX500 & Arducam Model Zoo
- [SHARP] 12.3MP Precision Optics with Industrial-Grade Clarity
- [USER-FRIENDLY] Compact & Ready in Minutes
- [BACKEND PLATFORM] For Windows, Linux.
- [USB3 UVC] Plug and play, driver-free.
Arducam, Edge, AI Camera.
Where they intersect, magic happens.
Arducam
Arducam’s embedded vision expertise transforms the IMX500 into a universal AI camera series, with its AI Model Zoo extending beyond Sony's AITRIOS™ templates.
Edge
By processing data directly on-device, Edge AI delivers instantaneous responses, guarantees privacy, and operates flawlessly even in zero-connectivity environments — redefining reliability for critical applications.
AI Camera
The IMX500 integrates pixel sensing and AI computation into a single chip, bypassing traditional server dependencies to achieve unprecedented efficiency in vision AI solutions.
Applications
-
1. Object Detection
Autonomous Driving: Identifying pedestrians, vehicles, and traffic signs on the road.
Security Surveillance: Real-time detection of suspicious activities or intruders.
Industrial Automation: Monitoring production lines for defective products or anomalies.
Drone Monitoring: Recognising and tracking specific objects, such as wildlife or cargo.
-
2. Segmentation
Medical Imaging Analysis: Segmenting tumours or organs in MRI or CT scans.
Intelligent Traffic Systems: Segmenting roads and lane markings to optimise navigation systems.
Agricultural Monitoring: Analysing crop growth and identifying pests or diseases through image segmentation.
Augmented Reality: Segmenting and replacing backgrounds in real-time video to enhance user experience.
-
3. Pose Estimation
Fitness Applications: Real-time monitoring of user movements to provide feedback and improvement suggestions.
Virtual Reality: Tracking user body movements to enhance immersion.
Human-Computer Interaction: Implementing contactless control through gesture recognition for smart home devices.
Animation Production: Capturing actors' movements and translating them into animations for digital characters.
-
4. Classification
Image Recognition: Identifying and classifying content in social media images (e.g., landscapes, people, animals).
Sentiment Analysis: Analysing text or voice data to determine user emotional states.
Spam Filtering: Classifying emails as either legitimate or spam.
Product Recommendation Systems: Classifying products based on user behaviour and preferences to provide personalised recommendations.
Features
Arducam's One-stop Vision AI Solution
Powered by Sony's IMX500 AI Vision Sensor
Enhanced with Sony's AITRIOS™ AI Platforms
Extended with Raspberry Pi AI Camera
-
[SMART]
AI at the Edge, Simplified
Sony’s IMX500 combines image processing and AI on a single chip, reducing costs and enhancing efficiency for edge AI deployment. Arducam’s AI Model Zoo complements this with a library of pre-trained models for specialised applications, bridging convenience with real-world complexities
-
[SHARP]
Engineered Clarity
The IMX500’s 12.3MP resolution is optimised through Arducam’s expertise, delivering exceptional image quality in various conditions. Integration with the Raspberry Pi AI Camera ensures seamless performance and clarity, making it ideal for rapid deployment in edge vision applications.
-
[VERSATILE]
One Ecosystem, Infinite Configurations
Arducam offers flexible hardware solutions from standalone modules to all-in-one systems, catering to diverse needs from prototyping to mass production. Compatible with various tech stacks, it supports easy deployment across different platforms, ensuring no application is left behind.
-
[USER-FRIENDLY]
Effortless Edge AI
Designed for low-power edge AI, Arducam products are compact and developer-ready, allowing for quick setup and operation. Users can go from unboxing to inference in just 10 minutes, making it accessible for various applications.
Specifications
| Image Sensor |
| Sensor |
SONY IMX500 |
| Still Resolution |
12.3MP |
| Colour Filter Type |
Color |
| Shutter Type |
Rolling Shutter |
| Optical Size |
1/2.3" |
| Output Format |
YUY2 |
| Pixel Size |
1.55 µm x 1.55 µm |
| Sensor Full Active Area |
4056 × 3040 pixels |
| Supported Resolution@fps(With AI) |
2016x1520@10~20fps |
| Supported Resolution@fps(Without AI) |
2016x1520@10~20fps |
|
| Lens |
| Focus Type |
Fixed Focus |
| FOV(DxHxV) |
113°x100°x83° |
| Lens Mount |
M12 Mount |
| F.NO |
F2.8 |
| E.F.L |
2.70mm |
| Default Focus Range |
30cm~INF |
| IR Sensitivity |
Integral 650nm IR Filter |
| USB |
| Interface |
USB 3.2 Gen 1 device, backward compatible with USB 2.0 hosts |
| Connector |
Type-C reversible interface connector |
| UVC Compliant |
No additional drivers required |
| Electrical and Mechanical |
| Operating Temp. |
0°C to 50°C |
| Functionality and Compatibility |
| Supported OS |
Windows, Linux |
| Recommend Sample Application |
PotPlayer for Windows, qv4l2 for Linux |
| UVC Controls |
Brightness, Contrast, Saturation, White Balance (Auto/Manual), Gain, Exposure (Manual/Auto) |
