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 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.

[Smart] Edge AI Powered by RPi AI Camera & Arducam Model Zoo
[Sharp] 12.3MP Precision Optics with Industrial-Grade Clarity
[User-Friendly] Super compact, Low-Power & Ready in Minutes
[Processor Integrated] Fully Integrated Raspberry Pi CM5 inside
[Integrated Fan Cooler] Active fan cooler enables better heat dissipation.

Features:

Arducam’s One-stop Vision AI Solution
Powered by Sony IMX500 AI Vision Sensor
Enhanced with Sony AITRIOS™ AI Platforms
Extended with Raspberry Pi AI Camera

1. SMART AI at the Edge, Simplified ony’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 specialized applications, bridging convenience with real-world complexities.
2. SHARP Engineered Clarity The IMX500’s 12.3MP resolution is optimized 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.
3. 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.
4. 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.
[Read this if you are getting an IMX500 compatible AI model] Users of Arducam IMX500 Cameras can explore the Arducam IMX500 AI Model Zoo here to quickly get started with vision AI.

Specifications:

Image Sensor
Sensor	SONY's IMX500
Resolution	12.3 Megapixels
Chroma	Color
Shutter Type	Rolling Shutter
Optical Format	1/2.3"
Output Format	RAW10
Pixel Size	1.55µm x1.55µm
Sensor Active Area	4056(H)×3040(V)
Sensor Image Area	6.29 mm x 4.71 mm (7.86 mm diagonal)
Maximum Frame Rate	2028x1520@30fps; 4056 x 3040@10fps
Lens
Focus Type	Fixed Focus
FOV	78°(D)×66.3°(H)×52.3°(V)
Lens Mount	Stock Lens Mount
F.NO	F1.79
E.F.L	4.74mm
IR Sensitivity	Integral 650nm IR Filter, visible light only
Default Focus Distance	20cm-INF
Controller Properties
Controller Module	Raspberry Pi Compute Module 5, CM5004016
Processor	Broadcom BCM2712
RAM Memory	4GB
Storage	16GB of eMMC Flash Storage
Wi-Fi Connectivity	Not Available
Bluetooth Connectivity	Not Available
Functionality and Compatibility
Interface	PoE/USB-C
Network Support	Ethernet
Supported OS	Raspberry Pi OS
Exposure Time Range	4056x3040: 0.192~201711.828 ms 2028x1520: 0.101~105904.344 ms
Supported Platform	Raspberry Pi CM5 inside
Electrical and Mechanical
Operating Voltage	USB-C: 5.1V/3.0A PoE Power Input: IEEE 802.3at PoE/50-57V 600mA
Power Consumption (Typical, Maximum)	Typical: N/A Max:15W
Cooling Fan Size	30x30x7 mm
Camera Board Size	24×25 mm
Overall Weight (Net)	200g
Overall Size	60x50x52.6 mm
Standard and Certifications
Temperature range (Storage)	-14°F-167°F (-10°C to +75°C)
Temperature range (Operating)	32°F-122°F (0°C to +50°C)
Certification	CE/RoHS

Applications:

These application examples are for reference only; please contact us for specific details.

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: Recognizing and tracking specific objects, such as wildlife or cargo.
2. Segmentation Medical Imaging Analysis: Segmenting tumors or organs in MRI or CT scans. Intelligent Traffic Systems: Segmenting roads and lane markings to optimize navigation systems. Agricultural Monitoring: Analyzing 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: Analyzing 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 behavior and preferences to provide personalized recommendations.

Notes:

Tripod is not included in the package, please check UB0224 and UB0216 for additional purchase.
This product kit includes the Raspberry Pi CM5 preloaded with the final version of Bookworm OS. It is recommended to use only this platform and OS.
For optimal performance, we suggest using the official Raspberry Pi 27W power supply.

Documentations:

Package Includes: