Every industry is looking to improve efficiencies - be it early discovery of wear and tear in civil infrastructure or improving finished product quality on an assembly line. TYQ-i is Ignitarium's Visual Deep Learning based defect detection platform that can vastly improve your inspection and Quality Assurance process.
See - and find - more with TYQ-i.
TYQ-i is a distillation of Ignitarium's deep experience in AI-for-vision. At its core, it blends the best of Classical CV techniques with advanced custom neural nets to create an efficient solution that can generalise across vastly different use cases. The same platform can be tuned to detect anomalies in an infrastructural asset spread over miles as easily as it can be re-purposed to detect a defect in a tiny part moving on a high speed conveyer line.
Handcrafted custom neural networks (not just Open Source CNNs) that can be trained for high accuracy inference with minimal data sets (often less than a few 10s)
Common Neural Network platform architecture that can detect edge, surface, color, dimensional, missing or extra artifacts
Efficient SDK to allow quick deployment of the solution in live environments, irrespective of defect class being targeted
Does not require high-end purpose-built industrial grade Machine-Vision cameras. Can even work with regular webcams in several use cases.
The TYQ-i framework has a native benchmarking framework that allows quick identification of bottlenecks in the pipeline - be it registration, classification, inference or sub-stages in between.
Efficient architecture that can seamlessly transfer critical functions from the Vision processing pipeline into low-cost FPGAs to achieve higher frame rates or reduce latencies.
Acquires imagery of infrastructure assets from aircraft (drone & fixed-wing) and performs advanced Visual AI assisted analytics to improve the speed and accuracy of asset monitoring and maintenance.Read More
Detection of anomalies (wear and tear) in ground infrastructures like railways, roads, tunnels, etc using different types of visual sensors and advanced AI analytics.Read More
Detection of Edge and Surface deformities in manufactured goods traveling on a conveyer beltRead More
Detection of presence or absence of Nuts and Bolts on designated slots of machine parts.Read More
Color detection - including shade variations - in real time.Read More