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AI and built in GPS System can provide Person With Visual Information to a person on what to do in certain situation.
This crop management system uses artificial intelligence, machine learning, and augmented reality to fully digitize plant farming. RGB, infrared cameras, and sensors are being installed in a facility to gather data. Every minute, crops get photographed and the AI does a health check by scanning the pictures. A farmer can use wearables like Google Glasses, and get information about the temperature, plant health, etc. in augmented reality.
permanent solution for Myopia, Hypermetropia Astigmatism and Blindness
AR Technology Can Be used To Create a precise surgical
training Programs which can accurately provide a simulated experience for a delicate surgical program which can be repeated again till perfection over errors which might be impossible in real life
The potential for creativity in Mixed Reality (MR) is maximized with masterfully engineered high-precision controls. Perfect placement for pen and wand articulation includes 3 controls at the front, tip for 2D interactions, Meta button at the top, and haptic feedback. Sketch, grab, move, and manipulate objects in virtual space—even in context with physical space.
Face Tracker :
- Small and fast
- ideal for the web Highly accurate
- with a focus around the lips and eyes
Hair Tracker
- Inclusive, works on all hair types with strong coverage
- Perfect edges for a realistic result
Nail Tracker
- Tracks each nail individually, allowing for different art on each of your nails
- Understands hand orientation and pose.
Analysis
Our analysis technology can detect clinical skin concerns, face characteristics like face shape, skin tone and hair color, and much more. All of our analysis technology is powered by artificial intelligence. Our analysis software has an average of 88% accuracy, and in many cases is even better. Here's how we do it!We gather a diverse data set from individuals around the globe of different ages, ethnicities, genders, and more.We work with experts to label each image, for example, for our skin analysis, we had over 10 dermatologists look at each selfie.We use something called a convolutional neural network, this artificial intelligence technique can look at example images, and learn to identify the labelled characteristics from an image it has never seen before.We also set aside 10% of our data. We can check that the artificial intelligence algorithm is working by seeing if it scores correctly on our test data. We can measure our accuracy by seeing how often we are within 1 point of the correct answer, or in our case, our analysis software has over 88% accuracy.
