You are Industry 4.0 ready.
TYQ-i - Artificial Intelligence Vision Systems
In every industry, the quest for enhanced efficiencies is relentless, whether it's detecting wear and tear in civil infrastructure early or enhancing the quality of finished products on assembly lines. TYQ-i®, Ignitarium's cutting-edge defect detection platform based on Artificial Intelligence Vision Systems, offers a transformative computer vision solution to streamline your inspection and Quality Assurance processes. With TYQ-i®, uncovering and addressing defects becomes more efficient and effective than ever before. Experience the power of AI-driven visual inspection with TYQ-i® and unlock a new realm of possibilities for your operations. 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
Artificial Intelligence Vision Systems | TYQ-i
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
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.
TYQ-i
Ground Based Infrastructure analytics
Detection of anomalies (wear and tear) in ground infrastructures like railways, roads, tunnels, etc using different types of visual sensors and advanced AI analytics.
TYQ-i
Real Time Manufacturing Line Inspection
Detection of Edge and Surface deformities in manufactured goods traveling on a conveyer belt
TYQ-i
Missing Artifact Detection
Detection of presence or absence of Nuts and Bolts on designated slots of machine parts.
TYQ-i
Real Time Color Detection
Color detection - including shade variations - in real time.