CribVision vs EyeSearch

CribVision instantly identifies playing cards through your iPhone camera and calculates cribbage hand scores automatically. Just point your phone at your four hand cards and the cut card. CribVision’s on-device machine learning detects each card, determines which is the cut card based on spatial layout, and delivers a complete scoring breakdown — fifteens, pairs, runs, flushes, and his nobs. HOW IT WORKS Lay out your cribbage hand with the cut card separated slightly. Point your iPhone at the cards and CribVision locks in each card as it’s detected. Once all five cards are identified, you get an instant score with a full breakdown of every scoring combination. FEATURES • Real-time card detection powered by Core ML • Automatic cut card identification from card positions • Complete score breakdown: fifteens, pairs, runs, flush, his nobs • Hand and crib scoring modes with correct flush rules • Hand history with statistics tracking • Works entirely on-device — no internet required, no images stored PERFECT FOR • Learning to count cribbage hands • Quick verification during game play • Settling scoring disputes at the table • Practicing hand evaluation All card detection and scoring happens on your device. No photos are stored, transmitted, or shared. Your privacy is fully protected. A one-time in-app purchase is available to remove advertisements.

EyeSearch uses your iPhone camera to detect a specific stickered items in real time, helping you quickly locate the object it's attached to. Designed for people with low vision, EyeSearch gives you a visual guide without requiring you to rely on small text or fine details. Simply open the app, point the camera, and let it do the searching. Key features: • Real-time sticker detection using camera. • Works entirely offline, no data is sent to any server • Privacy-first: your camera feed is never stored or shared EyeSearch is built with accessibility in mind, providing a simple and fast experience for everyone. A project developed at Apple Developer Academy | UCB by Victória Martins, Raquel Souza, Daniela Carvalho, Paulo Henrique, and Manoel Pedro, under the mentorship of Felipe Carvalho and Júlio Santos.