Sensor Fusion Annotation Services
Unified Multi-Sensor Data Annotation for 360° Perception
Synchronize and align LiDAR, radar, and camera inputs into unified annotations. Create high-quality training data that gives your AI models a complete view of their environment for more robust perception and decision-making.
Unified Multi-Sensor Data Annotation for 360° Perception
Today's advanced AI applications – from self-driving cars to security systems – rely on multiple sensors working in harmony. Sensor fusion annotation is the key to unlocking a cohesive understanding from disparate data sources like LiDAR, radar, and cameras.
At Your Personal AI, we provide expert multi-sensor labeling that synchronizes and aligns every sensor input. The result is a unified ground truth that gives your models a 360° view of each scenario, leading to more robust and reliable AI perception.
Complete Multi-Modal Labeling Solutions
Handling multi-sensor data is complex. Our sensor fusion annotation services cover the full spectrum of challenges to deliver clean, integrated datasets ready for training.
Cross-Sensor Calibration & Alignment
We start by calibrating and aligning data from different sensors. This ensures that annotations correspond accurately across all modalities.
- Precise sensor calibration and coordinate alignment for true data fusion
- Correction of time lags and perspective differences between sensors
- Unified coordinate frames so objects line up in LiDAR, video, and other data streams
Synchronized Multi-Stream Labeling
YPAI annotators are trained to label multi-sensor data simultaneously, maintaining perfect synchronization across all data streams.
- Frame-by-frame synchronization of annotations across LiDAR, radar, and camera feeds
- Consistent object IDs to track the same entity across sensor streams
- Temporal continuity maintained for sequential data (ideal for time-series analysis)
Unified Object Annotation
Our team creates a single, rich annotation set that integrates all sensor inputs, yielding training data that fully exploits all sensor modalities.
- Multi-modal object annotations combining visual and spatial data (e.g., 3D + 2D boxes)
- Attribute tagging (like object velocity, size, or signal intensity) from various sensors
- Cross-modality consistency, ensuring no sensor's information is overlooked
Advanced Sensor-Specific Annotations
We support specialized fusion scenarios for diverse applications, adapting to your specific hardware setup and annotation requirements.
- Thermal, infrared, or night-vision camera fusion annotation for defense applications
- IMU/GPS and LiDAR fusion for accurate geospatial labeling in robotics and AR/VR
- Custom sensor combinations tailored to your unique hardware configuration
Applications of Sensor Fusion Annotation
Our multi-sensor annotation services drive innovation in a range of fields:
Autonomous Vehicles
Comprehensive fusion of LiDAR, cameras, and radar data for self-driving cars. By labeling all sensor inputs in concert, we help AVs better detect and react to cars, pedestrians, and obstacles under all conditions (rain, fog, night). This leads to improved object recognition and path planning.
Robotics & Drones
Service robots and aerial drones often use multiple sensors (visual, depth, ultrasonic) to navigate and perform tasks. Our annotations ensure these systems have a unified understanding of their surroundings, from obstacle avoidance in warehouses to terrain mapping by UAVs.
Surveillance & Security
In security systems, combining CCTV video with motion sensors or infrared data can greatly enhance threat detection. We label multi-source surveillance feeds to help AI identify intruders or anomalies with higher accuracy and lower false alarms.
Augmented Reality & Mapping
AR devices and mapping solutions merge camera images with depth sensors (like LiDAR or structured light) to understand environments. YPAI provides fused annotations that enable AR applications to place virtual objects accurately and mapping systems to construct detailed 3D models of real-world spaces.
The YPAI Sensor Fusion Advantage
Choosing Your Personal AI for sensor fusion annotation means partnering with a team that understands the intricacies of multi-modal data.
Experienced Multi-Modal Team
Our annotators and project managers have deep experience in projects involving sensor fusion for automotive, robotics, and more. We understand how to interpret different data streams and the edge cases that arise when combining them.
- Specialized training in cross-sensor interpretation
- Experience with 20+ sensor types and configurations
- Background in autonomous driving and robotics
Cutting-Edge Fusion Platform
YPAI's proprietary annotation platform is built to handle multi-sensor projects. It allows simultaneous viewing and labeling of synced sensor data (e.g., side-by-side LiDAR point cloud and video frame), ensuring efficiency and accuracy.
- Synchronized multi-sensor visualization
- Cross-modality annotation propagation
- 3D-to-2D projection for spatial alignment
Scalable & Flexible
Whether you have two sensors or ten, tens of hours of data or thousands, we scale to meet your needs. Our workflow can accommodate large-scale multi-sensor datasets, and we can quickly onboard additional annotators with the needed technical skills for your project.
- Handled projects with 100,000+ hours of data
- Global team for 24/7 annotation coverage
- Customizable workflows for any sensor setup
Quality Control Across Modalities
We implement rigorous QA that checks annotation consistency between sensors. Our validators cross-verify that, for example, an object labeled in LiDAR is correctly labeled in the camera frame. This multi-layer QA guarantees a harmonized, high-precision dataset.
- 99.8% accuracy through multi-stage validation
- Cross-sensor consistency verification
- Statistical validation and outlier detection
Data Security & Compliance
Multi-sensor data often includes sensitive information (such as video of public spaces or proprietary sensor outputs). We ensure all data is handled securely with encryption and access controls. YPAI is fully committed to data privacy and will meet any industry-specific compliance requirements.
- SOC 2 Type II compliant processes
- End-to-end encryption for all data
- Secure, isolated processing environments
Seamless Integration & APIs
Our sensor fusion annotation system integrates smoothly with your existing data pipelines and AI workflows. We provide comprehensive APIs and flexible data exchange formats to ensure that the multi-modal datasets we deliver can be immediately utilized by your machine learning systems.
- REST APIs for workflow automation and status monitoring
- Support for industry-standard formats (KITTI, nuScenes, etc.)
- Custom export pipelines for proprietary ML frameworks
Unify LiDAR + Camera + Radar Truth
Stop training on misaligned multi-sensor data. Our fusion experts synchronize every modality—from point clouds to thermal imaging—creating unified ground truth that achieves 99.8% cross-sensor consistency for autonomous systems.
GDPR & Data Protection at Your Personal AI
Protecting personal data is at the core of everything we do. We operate in full alignment with the EU General Data Protection Regulation (GDPR) and apply its principles across all of our global projects.
Privacy by Design
All of our data collection and annotation workflows are designed with privacy and compliance in mind from the very beginning. We only process the minimum amount of personal data required, and every project undergoes a structured review to identify and mitigate privacy risks before launch.
Lawful Basis & Consent
We establish a clear legal basis for each processing activity. Where consent is required, it is gathered transparently, with participants informed about the scope of the project, the purpose of the recordings, and their rights under GDPR. Consent can be withdrawn at any time without penalty.
Data Subject Rights
We respect and enable all rights under GDPR. Requests are handled promptly and without unnecessary delay.
Secure EU Storage
All sensitive data is stored in secure, access-controlled environments within the European Union by default. If cross-border transfers are required, we use the European Commission's Standard Contractual Clauses (SCCs) and ensure equivalent protection.
Vendor & Sub-Processor Management
We maintain a strict register of all sub-processors. Every vendor undergoes a compliance review and is bound by contractual data protection obligations. We never use sub-processors without prior vetting and contractual safeguards.
Continuous Governance
Our compliance framework is not static. We conduct regular internal audits, update our practices in line with evolving guidance from EU regulators, and train our teams to ensure privacy is embedded in day-to-day operations.