In today's data-driven world, the demand for high performing data centre infrastructure continues to soar. From auditing rack space availability to optimising energy usage, use computer vision solutions to enhance your data centre operations
Cooling for data centres
Energy usage and efficiency continues to be a major concern within the industry. Elevate data centre efficiency using our AI powered computer vision to analyse heat maps. By harnessing real-time image insights, our technology helps to optimise cooling systems, ensuring peak performance and reducing energy wastage using thermal imaging.
Monitoring rack space availability
Keeping track of available capacity is a challenge for many data centre owners. Avoid time consuming audits and manual checks, using computer vision to regularly analyse images of racks, cabinets, floor mounted devices, servers, line cards and even port capacity. Automating the management of the data center ensures both efficient capacity tracking and proper equipment installation (racks, servers and cards).
Ensuring security compliance
Data centres are regularly accessed by third parties. Use our solution to ensure that the correct technician is present and certified to conduct the intended work. In addition, with data centres containing highly sensitive areas, use computer vision technology to enhance your current security measures, setting-up virtual electronic fences to identify own or third-party engineers entering sensitive or no-go areas.
See the benefits for yourself
Share visual data for review and align on use cases, detections, data structure, frequency of analysis and success measures.
Start uploading data to our platform where you will be able to track progress across the data pipeline, review dashboards and key results.
If no pre-trained model is deployed, we use human annotators to immediately start analysing images. In parallel we kick-off model exploration and training for each detection case.
Transition to a fully automated model, with human in-the-loop intervention used for edge cases and where 100% accuracy levels are required.