The Raspberry Pi AI camera combines high-resolution imaging with edge AI processing, making it ideal for real-time AI vision projects.
Learn how to prepare datasets, train your AI models, and create AI vision applications for Raspberry Pi AI Camera, through a variety of tutorials and examples.
Accelerate AI model development with Brain Builder for AITRIOS, a user-friendly no-code platform for creating classifier, detector, and anomaly detection models.
Raspberry Pi AI Camera with IMX500 sensor
The Raspberry Pi AI Camera, equipped with the IMX500 Intelligent Vision Sensor from Sony, offers high-speed edge AI inference in a compact, all-in-one solution that works with any Raspberry Pi.
IMX500 key benefits
Sony's IMX500 is a groundbreaking CMOS sensor that combines image processing and AI on a single chip to reduce infrastructure costs, enhance efficiency, and accelerate edge AI deployment.
Identify and track high visibility vests in real-time, overlaying the AI results on the streaming video feed from the camera.
Track cars and analyze if they are parked in a marked parking space, to ensure efficient and organized parking solutions.
Use object classification for real-time analysis of production line performance with high accuracy.
Track people in queues to help optimize queue management to reduce waiting times and enhance efficiency.
Track multiple people in real time using keypoints and boxes to analyze the number of reps they do in an exercise group.
Start your developing journey
From model to deployment and integration
Develop, deploy, evaluate, and iterate any type of neural network on the IMX500 Intelligent Vision Sensor from Sony.
