Panoptic Segmentation
Pixel-Level Detail and Accuracy
Panoptic segmentation combines instance and semantic annotations to deliver detailed, pixel-level data for advanced ML algorithms. Each object segment is automatically assigned a unique instance ID, enabling more precise object recognition and interaction for autonomous systems.
Polygon Annotation
Precise Object Annotation
Polygon annotation allows precise recognition of irregularly shaped objects by plotting points along each vertex. This ensures every edge is accurately annotated, enabling autonomous vehicles to identify and interact with diverse, complex shapes in real-world environments.
3D Point Cloud Segmentation
High-Resolution Point Clouds
Enhance self-driving models with point-wise segmentation of 3D point clouds. Our platform supports a range of LiDAR technologies, including solid-state and flash LiDAR, delivering dense, data-rich point clouds for superior autonomous vehicle performance.
Detection and Localization
Precise Localization for Mobility
Our platform supports multi-object detection and localization, tailored to standard classes like pedestrians, cyclists, cars, and traffic signs. We offer customization for additional classes, enhancing the capabilities of autonomous systems in complex mobility environments.
Semantic Segmentation
Accurate Object Classification
Enable AI perception models to classify and detect objects with pixel-level precision. Our Computer Vision experts meticulously annotate each image region, enhancing the model’s ability to interpret and understand detailed visual data for more reliable autonomous operation.
Multi-Sensor Fusion
Optimized for Precise Navigation
Our multi-sensor fusion service integrates data from cameras, LiDAR, radar, and ultrasonic sensors, improving navigation and object detection. This ensures accurate alignment of sensor data for higher performance in autonomous systems.
Sensor Fusion via 2D-3D Linking
Boost Object Detection and Tracking
Enhance object detection and tracking with sensor fusion technology that links 2D images and 3D point clouds. Our auto-linking capability ensures object continuity across both 2D and 3D environments, improving detection accuracy over multiple frames.
Detection and Tracking
Automated Video Annotation
Support autonomous vehicle development with our platform’s detection and tracking capabilities. By automatically interpolating and tracking objects across extensive video data, we streamline the training of mapping and perception systems under diverse conditions.
Maximize Your Impact with Precision
Use Cases
Self-Driving Vehicles
Enhance autonomous driving models with precise data for navigation, obstacle detection, and traffic management.
Autonomous Drones
Train AI for autonomous aerial navigation, enabling tasks such as delivery, surveillance, and mapping.
Maritime Autonomy
Develop AI models for unmanned ships and underwater vehicles, optimizing navigation and mission success.
Autonomous Industrial Vehicles
Improve AI for forklifts, loaders, and other industrial vehicles, enhancing operational safety and efficiency.
Agricultural Robotics
Train autonomous farming equipment for precision tasks like planting, harvesting, and monitoring crop health.
Logistics and Supply Chain Automation
Use AI for autonomous systems to streamline warehousing, transportation, and delivery operations.
Search and Rescue Drones
Develop AI models for drones that assist in search and rescue operations, navigating challenging terrain and environments.
Public Transportation Automation
Enhance AI for autonomous buses and trains, improving safety, scheduling, and urban mobility.
