Robotics

Manufacturers are discovering that AI can help them capture information in a multitude of ways, with minimal human interaction, such as inventory in their warehouses, product & packaging damage & more. Robots are automatically controlled, reprogrammable machines that might turn out cheaper & more efficient then humans in the long run.

Product Defect
Detection

For Product Defect Detection, our team tries to identify and label various defects in manufactured products. Classes include scratches, dents, discolourations or misalignments, with precise locations marked using keypoints or bounding boxes.

Workplace Safety
Detection

In Workplace Safety Detection projects, our team marks various safety-related elements such as obstacles, moving machinery, slippery surfaces, improper equipment usage & non-compliance with safety protocols. Annotations include characteristics such as proximity to hazardous areas, potential collision risks & adherence to safety guidelines. This annotated data is crucial for training machine learning models to enable robotic systems to detect & respond to safety threats in real-time, preventing accidents & ensuring worker safety in industrial settings.

Object
Detection

Packaging
Inspection

During Packaging Inspection projects, our team marks the location & extent of defects in the packaging observed in the image. The classes encompass tears, wrinkles, dents, scratches, misprints & foreign objects. Packaging inspection is aiding in automating quality control processes & ensuring the safety of packaged products.

Conveyor Belt
Tracking

For Conveyer Belt Tracking projects, our team meticulously annotates packages traversing the conveyor belt. Each item's position & movement are tracked with corresponding labels assigned to reflect its type, whether it be boxes, luggage or parcels. This comprehensive annotation process aids in training the model to accurately detect & classify these package types, ensuring efficient conveyor belt operations.

Airport Baggage
Tracking

For Airport Baggage Tracking projects, our team annotates the luggage & bags within airport environments entails precisely marking their locations in images captured at various points such as conveyor belts, security checkpoints & loading areas in airport terminals. This meticulous process aids in training machine learning models to automate baggage tracking processes, enhance security measures & optimise operational efficiency within airports.