Computer vision

Axis cameras equipped with a Deep Learning Processing Unit (DLPU) provide a powerful platform for running custom computer vision applications at the edge. By training and deploying your own deep learning models, you can perform real-time video analysis directly on the camera, reducing reliance on cloud-based processing and improving system efficiency.

Leverage the DLPU for Edge AI

The DLPU in Axis cameras is designed to execute deep learning models optimized for real-time object detection, classification, and tracking. This enables applications such as:

• Object and people detection – Identify specific objects, people, or vehicles directly on the camera.
• Behavior analysis and anomaly detection – Recognize unusual activities and trigger events.
• Traffic and retail analytics – Track movement patterns for insights and automation.

Benefits of running deep learning on Axis cameras

• Efficient Edge Processing – No need for external servers, reducing costs and infrastructure complexity.
• Low Latency – Real-time inference directly on the camera enables faster decision-making.
• Reduced Bandwidth Consumption – Transmit only relevant metadata instead of raw video streams.
• Scalability – Deploy applications across multiple cameras in a network.
• Security and Privacy – Keep sensitive data on-premise, minimizing exposure to external networks.

By running inference directly on the camera, you achieve lower latency, reduced bandwidth usage, and enhanced data privacy—critical for security, industrial automation, and smart city applications.