The application of Axis devices extends beyond surveillance into the field of computer vision. The cameras are equipped with advanced video analytics capabilities, processing and analyzing data directly on the far edge.
Capturing raw data and performing the initial filtering and extraction of relevant details on the camera, preserves bandwidth. Subsequently, cloud-based analysis takes over to process the data, leveraging computational power to reveal deeper patterns, trends, and anomalies not easily seen at the edge level. Thus, Axis Communications' devices are not just video sources, but key enablers of minimizing cost in computer vision driven applications.
Axis network cameras, when performing image analytics at the edge, provide significant benefits for data analysis. The camera can efficiently process and filter large quantities of visual data in real-time, identifying and transmitting only the relevant data to the cloud for further analysis. This approach minimizes both bandwidth and storage demand, thereby cutting down on the expenses linked to transferring and storing large volumes of unprocessed video data in the cloud. Decoding video streams in the cloud can be highly resource intensive.
Axis cameras filter and identify essential segments, ensuring that only these significant parts are sent to the cloud. This selective data transmission preserves bandwidth, minimizes latency, and optimizes the overall system efficiency. Importantly, it ensures that cloud resources are allocated for analyzing only the most pertinent data, yielding profound insights and more precise results.
Cloud-based storage efficiently retains video and image archives, accessible for analysis using advanced algorithms. This scalable and cost-effective solution eliminates on-site storage needs. It enables real-time and batch processing, delivering valuable insights through techniques like object classification, pattern recognition, and trend analysis. Cloud storage is now indispensable in industries including retail and traffic management and security.
Cloud-based analysis utilizes trained algorithms for detailed image analysis. For instance, in a group photo, AI can scan for hard hat wearers, displaying bounding boxes around them, and generating a report indicating the number and positions of identified hard hats. This type of image analysis is particularly useful for safety compliance assessments in sectors like construction or manufacturing.
Explore a tutorial demonstrating the utilization of AXIS Object Analytics in conjunction with Amazon Recognition to identify individuals donning personal protective equipment (PPE).