Precision LiDAR & 3D Point Cloud Annotation Services
3D Cuboid Annotation
Semantic Segmentation
Polygon & Polyline Annotation
Landmark & Key-point Annotation
Sensor Fusion Annotation
Autonomous Vehicles & ADAS
- Delivered 500K+ multi-sensor annotated LiDAR frames for a global AV OEM, enabling safer obstacle detection, pedestrian tracking, and lane recognition.
- Supported Level 4 & 5 pilot programs with temporal consistency across LiDAR + camera fusion.
Smart Cities & Infrastructure
- Generated 3D urban maps for semi-urban German roads to optimize traffic light placement and reduce congestion.
- Partnered with municipal authorities to deliver annotated LiDAR datasets for intelligent infrastructure and urban planning projects.
Robotics & Industrial Automation
- Enabled autonomous warehouse robots to navigate safely by annotating dense LiDAR point clouds with hazard detection markers.
- Helped an industrial automation client cut operational downtime by 30% through precise obstacle recognition.
Geospatial & Surveying
- Processed 2M+ LiDAR frames for a European surveying firm, cutting turnaround time from weeks to days.
- Enabled accurate terrain classification and environmental monitoring at production scale.
Railways & Transportation
- Annotated 80K+ km of railway assets (tracks, poles, signals, overhead wires) using LiDAR + panoramic imagery.
- Improved asset management efficiency by 40%, supporting predictive maintenance and safety compliance.
Agriculture & Forestry
- Supported precision irrigation projects by mapping farmlands and elevation shifts with annotated LiDAR data.
- Enabled crop density monitoring and vegetation analysis for large-scale agri-tech platforms.
Security & Defence
- Assisted defence partners in annotating LiDAR datasets for perimeter surveillance and low-visibility threat detection.
- Delivered annotated terrain awareness maps that improved border security monitoring efficiency.
Computer Vision
Computer Vision
Computer Vision
Visual Annotation (Driver Monitoring via Camera)
- Head Pose & Gaze Annotation: Labeling where the driver is looking (road, dashboard, phone, mirrors).
- Facial Expression Annotation: Drowsiness, yawning, distraction, anger, stress, smoking, talking.
- Eye State Annotation: Open/closed, blink rate, eye closure duration.
Audio Annotation (If In-cabin Audio is Captured)
- Voice Activity Detection: Speaking, shouting, talking on phone.
- Emotion Annotation (Speech-based): Calm, angry, stressed, distracted.
- External Sounds Annotation: Honking, sirens, sudden loud noises that may affect driver behavior.
Sensor / Telemetry Annotation
- Driving Event Labeling: Hard braking, rapid acceleration, sharp turns, overspeeding.
- Risky Manoeuvre Annotation: Tailgating, lane departure, sudden swerves.
- Distraction & Inattention Events: Identified from steering, brake, or accelerator patterns.
- Fatigue Detection Signals: Micro-corrections in steering, delayed reactions.
Environment & Context Annotation
- Traffic Condition Annotation: Dense traffic, clear road, pedestrian presence.
- Weather/Lighting Condition Annotation: Rain, fog, night/day (to see if behavior changes).
- Road Type Annotation: Highway, city streets, rural roads.
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