DNR light vs. ASL Recognizer Utilizzo e statistiche

DNR requires iOS 9.3, compatible with iPhones 5s, 6 and 6 plus and following models This app is for simple and user-friendly adjustment of the ISYnet DNR Touch-Controller and the DNR-Clock. DNR stands for day-night rhythm and is a system for controlling the light in a circadian biological rhythm (day-night rhythm). With the DNR modules, you can easily customize your DALI luminaries with 2 different colors for your human centric lighting (HCL). The following parameters can be set: - brightness curve - color temperature curve (light color) - switching times - features of the external buttons - locking of the manual mode - motion sensor functions To transfer the parameters, it simply uses the LED (flash) from your iPhone. Thus you don't need to connect via WiFi or Bluetooth what sometimes causes a lot of trouble. Simply hold your iPhone in front of the device and tap "send". The right hardware can be found at www.seebacher.de
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SMART RECOGNITION ASL Recognizer uses machine learning based model that is trained for high accuracy detection in any environment. UNIVERSAL Identify world’s most recognizable sign language basic hand gestures. MAKE WORDS By recognizing each hand pose, you can combine whole words to understand what is being said in sign language. LEARN SIGN LANGUAGE BASICS Find all basic alphabet American Sign Language hand gestures in one place for easier identification and learning. FOR DEVELOPERS The project uses Combine, AVFoundation and Apple Vision frameworks, is wrapped around Clean Swift VIP architecture and is fully open source documented on GitHub. More information: https://github.com/liudasbar/ASL-Recognizer
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DNR light VS.
ASL Recognizer

19icembre d, 2024