Vision Intelligence: TYQ-i®
You are Industry 4.0 ready. So are we.
TYQ-i - Vision Intelligence for Smart-er Inspection.
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®.
Key Features of TYQ-i
- Accurate defect detection using Vision sensors
- Multi-mode vision sensor support - RGB, 3D, Laser, Microscopic, Multi-spectral, etc.
- Advanced Hybrid algorithms merging classical CV and DL techniques
- In-field Customer Re-trainable architecture
- Custom Neural Networks that minimize the requirement for vast training data sets
- Multiple deployment modes - edge, in-premise server and cloud based
- Optimized for Intel distribution of OpenVINO™
- Solution scalable from low-cost micro-controllers to GPU farms
TYQ-i Product
Uniqueness
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.
Minimal training images
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)
Scalable across defect classes
Common Neural Network platform architecture that can detect edge, surface, color, dimensional, missing or extra artifacts
Integrated SDK-based solution
Efficient SDK to allow quick deployment of the solution in live environments, irrespective of defect class being targeted
Works with low-cost cameras
Does not require high-end purpose-built industrial grade Machine-Vision cameras. Can even work with regular webcams in several use cases
In-built benchmarking frameworks
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.
FPGA-acceleratable architecture
Efficient architecture that can seamlessly transfer critical functions from the Vision processing pipeline into low-cost FPGAs to achieve higher frame rates or reduce latencie
Use cases
TYQ-i
Aerial Analytics
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TYQ-i
Ground Based Infrastructure analytics
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TYQ-i
Real Time Manufacturing Line Inspection
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TYQ-i in Action
Worker safety
Tracking social distancing
FLK-i in-field training
TYQ-i Demo Kits
Lattice FPGA-based TYQ-i Demo Kit
Renesas MCU-based TYQ-i Demo Kit
Webinar
Deep Learning-based Vision Analytics For Smart Infrastructure
Webinar Recording
Deep Learning-based Vision Analytics for Wind Turbine Inspection
