Sign Language App-Carpentry vs ASL Recognizer Kullanım & İstatistikleri

Sign language app glossary has been designed to support vocational training of students with hearing-impairment. This app has been developed by GIZ- Vocational Training in Sri Lanka project, commissioned by German Federal Ministry for Economic Cooperation and Development (BMZ) as part of the efforts to support inclusive vocational training. The project supports a network of vocational training centres including the Nuffield School for the Deaf and Blind in Kaithithady, Jaffna. ‘Vocational Training in Sri Lanka’ is a project commissioned by German Federal Ministry for Economic Cooperation and Development (BMZ) and implemented by Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH to improve Technical and Vocational Education and Training (TVET) Sector in Sri Lanka through demand-driven cooperative training. The objective of the Vocational training in Sri Lanka (VTSL) project is: Youths from all sections of Sri Lanka's population have increasingly access to demand-based cooperative vocational training. The project’s partner is the Ministry of Skills Development and Vocational Training. The key implementation partner agencies are the Sri Lanka German Training Institute (SLGTI), the Ceylon German Technical Training Institute (CGTTI), the Vocational Training Authority of Sri Lanka and other selected public institutions and, particularly, selected private sector partners (PSPs). The VTSL project is scheduled for a three-year term (July 2019 until June 2022).
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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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Sign Language App-Carpentry VS.
ASL Recognizer

Aralık 18, 2024