The Connected Drone solution helps capture and analyze data from remote, spread out or hazardous environments by leveraging the ADDS platform in order to generate meaningful business insights which enable efficient, safe, and cost-effective operations and service management. The solution takes advantage of cameras and sensors embedded on drones to gather required field data on which Applied Intelligence such as image/video analytics is used. The image/video analytics leverages computer vision and machine learning algorithms that are trained to learn specific patterns/defects or compute data. The algorithms are created and customized to adapt as per the use case/industries.
In addition to ADDS Core services, the Connected Drone solution is composed of 2 dedicated tools:
The Drone Uploader is a "Desktop application" (installed locally) that offers both online and offline features and enables to import media items (images, videos) captured by a drone and automatically organizes those items into “missions”. The missions can then be published on ADDS where they can be managed and analyzed (e.g. mapping, analytics, etc.)
The Computer Vision is a set of highly trained servers with advanced deep learning capacities that detect all instances of a pattern/object/defect in pictures or videos. The workflow to implement analytics in ADDS is made up of two steps that consist of training the algorithm until it reaches an acceptable threshold of precision and processing all new imagery (pictures/videos) in order to detect patterns learned.