Optimize Production with Synthetic Data For AI Models

Chameleon transforms Manufacturing & Digital Workplaces with AI-driven automation, enhancing quality control, safety monitoring, and operational efficiency. From identifying faulty components to tracking employee safety and optimizing document digitization, Chameleon enables seamless AI training with diverse, high-quality synthetic data.

Key Use Cases

Product Counting & Quality Control – Detect faulty items, ensure accurate stock tracking
Site Health & Safety – Monitor PPE compliance, safety perimeters, and worker movements
Machine Safe Distancing – AI-powered alerts to prevent equipment-related accidents
Materials Management & Object Detection – Prevent lost/stolen items and track hazardous materials
Document Digitization – GDPR-safe AI training with realistic, randomized synthetic documents

Explore More Use Cases - Object Detection & Materials Management

Use Cases

Lost objects
Material checking to avoid theft
Safety checking for dangerous materials
Material counting and tracking

Chameleon Benefits

Misplaced items are a regular issue on building sites. Any item can be imported into chameleon for identification/counting.
Where the item is unique digital twin technology can be used to import an exact image of an object into Chameleon e.g. the valve in the images shown
Stock counting and checking use cases can be easily created in Chameleon with Lighting, time of dat and weather adjusted to provide a broad range of training data

Explore More Use Cases - Machine Safe Distancing

Use Cases

Heavy equipment is often deployed on construction sites e.g. cranes, bulldozers. Ensuring that the driver is aware of the proximity of humans to their machines can prevent accidents
Out of bound areas can be mapped using AI and site management can be alerted if employees stray into dangerous areas

Chameleon Benefits

Cameras can be placed at multiple positions on the heavy equipment to determine the best perimeter view (including fisheye cameras)
Range and velocity of the machine to the configurable actor can be provided
Dangerous areas can be mapped into a scene and scenarios created of configurable Actors walking through these areas with no danger to employees

Explore More Use Cases - Document Digitization

Use Case

GDPR and privacy issues mean using real world documentation for AI network training can be difficult
Creating templates of real-world documents populated with synthetic data and images is a powerful way of creating high quality, varied training data

Chameleon Benefits

All information is synthetic (face/names/dates etc) so no privacy issues
Information procedurally generated per document to ensure randomization and diversity
Documents can be lit in multiple ways and with multiple backgrounds to represent how images are provided by the general public
Bounding boxes can be customized to text strings or to per character
Damage, worn, yellowing documents can be created to broaden the test dataset