RENITY AIR
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Catalog excerpts

An Artificial Intelligence solution ideal for Object Recognition and Classification • Fast and Accurate to Detect and Recognize products • Easier to training AI and use without Experts • Reduce the training cost of the new employee • Economic, Efficient, and Low Total Cost of Owne

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RENITY AIR AIR is an intelligent solution for helping customers detect and recognize the products and materials in Retail, Industrial, and Medical industries. AIR can increase the efficiency & accuracy and reduce the employee training cost for various industries. Product Benefits Only Need 3 Images for Training Intuitive User Interface & Experience Edge Computing Recognize in 1 Seconds All in One or Standalone Easy Integration API Available Lower TCO No Need for Permanent Internet Connection Product Packages w/ Touch Monitor 18.5" + Touch Monitor 15.6" 8th Gen Intel® Whiskey Lake Fanless...

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Easy to Use only need Five steps • Easy to Maintain & Deploy • AI Training without Experts Quick Identification Correct & Improve Product Architecture Internet Store A Can be a Local Server to Manage All Items for All Stores Communicating with Microsoft Azure Distributing AI model automatically Internet/ Intranet/ VPN Detection & Recognition in Local Product Benefit & Comparison Others RENITY AIR Deep Learning Compare with Color/ Sharp Characterizes Cloud & Edge Edge Only Training Cost Easy to Integrate with Existing HW

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RAID Function True Flat Projected Capacitive Technology

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Food Delivery • Reduce employee training time • Detect Product and Recognizing • Improve employee working efficiency • No more queues and shorter checkout times Receipt in One Step • Check order items and product • Keep accurate records • Easier to integrate with POS system • Accurate and Fast to recognize an item • Detect Product and Measure Weight in One Step • Only need a short period of time for training • Keep accurate record for Type, Weight, • Keep accurate record for Name, Date/Time Industrial Maintenance Surgery Room • Detect tools and Compare with task in One Step • Supporting the...

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