AI and Machine Learning Solutions

Machine learning system for automated tree health analysis from drone imagery

The platform must ingest drone imagery, process it using machine learning algorithms, generate GPS-accurate power line routes, filter and cluster images based on specific criteria, and provide comprehensive issue reporting with annotation tools.

The system will collect data from various sensors and equipment within the mine, analyze the data using AI/ML algorithms, and provide real-time alerts and visualizations to mining personnel.

The application will enable users to remotely configure, monitor, and control ventilation equipment through a mobile interface. It will include user authentication, device management, fan control, and system diagnostics.

The system will capture images of plants using various imaging devices, process the images using deep learning algorithms to extract relevant plant characteristics, and provide actionable insights to farmers and agricultural managers.

The system will ingest LiDAR and RGB data to perform semantic segmentation of trees, obstacles, and terrain. It will provide geolocated object detection, DBH estimation, and route optimization capabilities.

The system must automatically detect and classify plankton in real-time video streams from an underwater camera. It should provide accurate identification of plankton types and quantities, and deliver processed data and statistics.