Combining Synthetic and Real Data for Results
Why Mindtech Chameleon
The simulator produces annotated images for the AI tools to train, then kick out results. The platform makes the process fluid.
The Scenario Editor is a simple UI based, drag'n'drop tool that creates the exact scenarios and corner cases needed in an intuitive way.
Mindtech can supply complete data packs, ready for training AI systems, such as sim behavior, actors, and sensors.
Mindtech can introduce new data for changes in the environment, such as people wearing facial masks or automated vehicles on roads.
Mindtech's synthetic data has automatic generation of advanced annotations that signifcantly reduce time and cost compared to real data.
The pixel perfect annotations and ability to address bias in datasets improves results accuracy.
To maintain a safe distance between people in a store. Using synthetic data to train a neural network, alerts would sound if people are not keeping a safe distance in a store or queue.
Shopping Malls & Hospitals
To maintain a close, but not too close, distance between a robot and a person. A robot that is AI trained (with image classification) could be employed to clean floors or seamlessly interact with customers, through accuracy of the training.
To find out how frequent or identify riders that do not wear a helmet. By training an AI system, it can automatically generate reports identifying how well people are following motorcycle helmet laws. It also can identify license plates of offenders and report accordingly.