End-to-End Deep Learning Ecosystem wahtari.io

AI / VPU 3 Myriad X AI accelerators Up to 120 frames per second AI inference Efficient passive cooling Broad AI model support for various custom models Straightforward deployment with Wahtari nGin SDK Alvium xy Allied Vision Compatible with any Alvium camera modul UP to 150 frames per second Up to 20.4 MegaPixel Native support LED / IR WIFI • Optional integrated WIFI support • IP67 protected WIFI antennas OS Small and secure operating system included Deploy custom Docker Apps Continuous security updates Simple deployment process Over-the-Air-Updates to any remote location End-to-End encrypted...

Deploy your AI Apps Build your own solution Wahtari Cloud End-to-End Encrypted Remote access & deployment from any location Kickstart your AI Vision Solution

Customer projects

License plate recognition • Accurate identification of license plates and traffic management • Diverse fields of applications: E.g Automated payment, automated access control, measure traffic density, detect offenses • Extreme viewing angels, light and weather conditions • Non-unified standards and design of license plates • Extreme high accuracy: Over 99% • Highspeed detection within 50-100ms • Onboard processing: Evaluation of the license plates within

WAHTARI Scope • Accurate detection and sorting of defective masks • Identify material flaws, imprint errors, ripped ribbons and falsely placed metal hooks No existing solution: human-based Challenge • Very complex situation • Masks are not evenly distributed / fixed Outcome • Image analysis within 25ms • Detection rate > 98%

WAHTARI Scope • Accurate detection and sorting of broken tiles • Identify cracks, spalling and discolorations • No existing solution: human-based Challenge • Many different types / models • No documented standards -> based on human intuition Outcome • Image analysis within 25ms • Detection rate > 99%

Inspection of conveyor belts Scope • Accurate detection of wear and tear on conveyor belts • Identify cracks, breaks, cuts, holes, shreds • Monitoring thousands of kilometers • Fluctuating visual conditions • Highspeed detection: <15m/s belt speed • Autonomous operation and alar

WAHTARI Scope • Detect residual bark • Measure length Challenge • Operating environment: change of seasons and varying light conditions • Different types of bark Outdoor operation, dusty, foggy Outcome • Exact detection of bark, contour instead of human decision • 15 % less waste

Modular ecosystem makes custom solutions easy: nLine Quality control for tube-shaped products AI that learns exclusively with “gold-samples“ 3 cameras for 360 degree coverage Onboard inference with 8 Intel VPUs Essentially 3 nCam mini + nBox Supports high manufacturing speeds of up to 1500m/min • Simple UI & API • No special employee training required •

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