With a robust background in Artificial Intelligence, Computer Vision, and Autonomous Systems, our team brings advanced expertise in geospatial technology and sensor fusion to tackle complex challenges in modern engineering. We specialize in developing cutting-edge solutions that integrate AI with real-world data to enhance autonomous navigation, sensor-based decision-making, and spatial data analysis.
Our core capabilities include:
- Autonomous Systems Development: Proven experience in building and deploying AI-powered autonomous systems, including the design and implementation of visual navigation algorithms for Autonomous Underwater Vehicles (AUVs) using PyTorch and TensorRT. These solutions integrate diverse sensor inputs—such as visual data and sonar—ensuring precise navigation and mapping in underwater environments.
- Geospatial Data Processing and Sensor Fusion: Expertise in processing and analyzing geospatial data for a wide range of applications, from underwater navigation to urban traffic prediction. This includes integrating multiple sensor data sources (e.g., cameras, sonar, lidar) to create accurate environmental models and improve spatial positioning and movement prediction.
- Machine Learning and Deep Learning: Extensive experience developing AI models for real-time decision-making in dynamic environments. Notably, we have created trajectory prediction algorithms for autonomous vehicles and a pre-crash detection system using Kalman filters and optical flow for safety applications.
- Computer Vision Applications: Specialized in using computer vision techniques for diverse applications, such as plant health monitoring in vertical farms. By combining satellite imagery, drone footage, and ground-level sensors, we create comprehensive environmental models that support sustainable agricultural practices and optimize resource management.
- AI for Location Intelligence: Strong focus on leveraging machine learning and computer vision to unlock insights from geospatial data. Our expertise in location intelligence supports industries ranging from autonomous driving and traffic management to environmental monitoring and agricultural optimization.
Through these capabilities, we are committed to delivering innovative solutions that empower organizations to harness the full potential of AI, machine learning, and sensor fusion technologies.