Ignitarium® TYQ-i® Infrastructure Inspection with Vision Intelligence
About this offer
Ignitarium’s® TYQ-i® is a visual deep learning-based infrastructure inspection platform aimed to improve inspection and quality assurance processes. It blends classical computer vision techniques with advanced custom neural nets for enhanced accuracy and performance. The highly scalable solution, primarily used for rail and wind turbine maintenance, captures visual data and uses AI models to detect defects and anomalies and can be deployed to inspect infrastructural assets over hundreds of miles, or even detect a defect in a tiny part on a high-speed conveyor. Ignitarium TYQ-i helps increase Accuracy, Cost Savings, and Safety by Partnering with Intel® for Infrastructure Inspection line.
Technical Specifications
- Category:
- Solution: Partner Solutions
- End Customer Type:
-
Enterprise
Small and Medium sized Business
- Deep Learning Framework:
-
Caffe
TensorFlow
Custom/Other
Keras
Torch/PyTorch
- AI Model Training:
-
Machine Learning
- Solution Availability:
-
Deployed
- Deployment Architecture:
-
Amazon Web Services (AWS)
Microsoft Azure
On-Premises
Google Cloud
Others
Resources
Included Intel Technology
Intel® Core™ Processors
Intel® Xeon® Processors
Intel Agilex® 7 FPGAs and SoC FPGAs
IGNITARIUM
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IGNITARIUM
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Ignitarium is a boutique product engineering house that combines its deep expertise in semiconductor, AI, and wireless-enabled embedded systems to realize cost-effective system solutions to solve demanding real world use cases. Since its inception in 2012, Ignitarium, which has a global footprint with presence in India (Bengaluru and Kochi), USA (San Jose and Austin), Canada, Japan and Europe, has been focused on providing product engineering services for intelligent systems. Its offerings include semiconductor logic design and architecture, design verification, FPGA prototyping, embedded, multimedia and AI software in the Automotive, Industry 4.0, Consumer Electronics, Robotics and Health care segments.
Ignitarium® Tyq-i® Infrastructure Inspection With Vision Intelligence
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