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Facial Recognition-Based Childcare Management System
#e-learning, #ML/AI
CHALLENGE
Parents expect visual updates on their children's activities but often face delays in receiving them. Educators find it challenging to allocate time for manual reporting and photo sharing. Ensuring child safety and privacy during photo capture is a significant concern.
CLIENT
Prominent childcare institutions and educators in the United States.
TECHNOLOGY
Python, OpenCV, C++, Java
TEAM
A dedicated team of people are proficient in AI and ML with extensive experience in back-end development.
INDUSTRY
E-learning
SOLUTION
This project offers innovative solutions to address the above problems:
Facial Recognition Technology: Utilizing Python, OpenCV, C++, Java, and OpenImaj to implement facial recognition for identifying children in photos.
Streamlined Reporting: Automating sharing visual updates with parents using facial recognition results.
Photo History Tracking: Maintaining a record of each child's photos taken and previously shared photos.
Privacy Measures: Allowing for the marking of children for whom photo capture is prohibited, ensuring compliance and privacy.
IMPACT
The measurable outcomes of this project demonstrate significant progress and success:
●Parents receive timely visual updates on their children's activities, enhancing their peace of mind.
●Educators save time and effort on manual reporting, allowing them to focus on their core responsibilities.
●Child safety and privacy are preserved by adhering to parents' restrictions regarding photo capture.
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Muteki Group is a full-cycle software development company that has successfully completed 100+ AI projects for startups and enterprises since 2015. Our 80+ member team covers everything from the discovery phase to support. We are located in Ukraine, Poland, Estonia, Japan, Canada, UAE, and the USA.
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