AI Platform For Drones
Enable object detection, object counting, change detection and much more on drones.
Drones generate vast amounts of data, which is usually in the form of images or video streams. Identification of objects of interest, counting them, or detecting change over time, are some of the tasks that are monotonous and labor intensive.
Airos Base AI platform offers a complete solution to automate such tasks. It has been designed and optimised specifically for drone applications.
The cloud-based training system leverages the scalability of the cloud to accelerate the training of models, to suit various customer requirements. Based on the use-case, the trained model can be deployed in the cloud (for post-processing of data) or on the edge (for real-time analysis).
Computer vision systems, mounted on drones, enable them to gather rich visual data either in the form of photos or videos. Processing this data using AI unfolds unique perspectives and information, which otherwise would be either impossible or very expensive to derive using traditional techniques involving human effort.
Airos Base AI controlled drones platform is based in the cloud, wherein the entire workflow of preparing datasets, training models and deploying trained-models for inferencing has been automated. This enables quicker turn around time and faster iterations when a use case is being worked upon. Being in the cloud also helps in scaling the system up at runtime when demand (either for training, or for real-time inferencing) increases.
Counting the number of Arabian Oryx from an orthomap image. These are an endangered specie and keeping a tab on their count goes towards their conservation.
Locating cracks and rust areas from an image of industrial structures.
Detecting changes between two photos of a parking lot taking from almost the same vantage point at different times.
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