Our Service
Advanced solutions
Our Service
Advanced solutions
TestWith
Everything you need for online exams
Testwith is an online exam supervision platform that ensures integrity and security during remote assessments. It offers real-time monitoring, advanced cheating detection, and seamless integration with various exam formats for a reliable and fair examination process.
I-Vu
Learning Analysis System Using Eye Tracking
I-Vu uses advanced eye-tracking technology to enhance remote learning and assessment. By analyzing students' gaze patterns, iView assesses engagement, concentration, and understanding, offering valuable insights for personalized learning and effective evaluation.
TestWith
I-Vu
Everything you need for online exams
Learning Analysis System Using Eye Tracking
Testwith is an online exam supervision platform that ensures integrity and security during remote assessments. It offers real-time monitoring, advanced cheating detection, and seamless integration with various exam formats for a reliable and fair examination process.
I-Vu uses advanced eye-tracking technology to enhance remote learning and assessment. By analyzing students' gaze patterns, iView assesses engagement, concentration, and understanding, offering valuable insights for personalized learning and effective evaluation.
Our solutions use cutting-edge technology to ensure top performance and reliability.
Facial Recognition
Eye Tracking
Attention Tracking
Learning Analytics
Facial Recognition
AI-based facial recognition technology provides a personalized learning experience. Accurately identifies users to track their authentication and learning progress.
Eye Tracking
Utilizes real-time eye tracking technology to analyze user attention. Identifies interaction with key content to enhance learning efficiency.
Attention Tracking
Quantitatively evaluates user attention to measure learning engagement. Analyzes low attention areas to identify improvements in the learning process.
Learning Analytics
Applies various data analysis techniques to examine learning performance and behavior patterns. Suggests personalized learning strategies to maximize learner achievement.
Facial Recognition
AI-based facial recognition technology provides a personalized learning experience.
Accurately identifies users to track their authentication and learning progress.
Eye Tracking
Utilizes real-time eye tracking technology to analyze user attention.
Identifies interaction with key content to enhance learning efficiency.
Attention Tracking
Quantitatively evaluates user attention to measure learning engagement.
Analyzes low attention areas to identify improvements in the learning process.
Learning Analytics
Applies various data analysis techniques to examine learning performance and behavior patterns.
Suggests personalized learning strategies to maximize learner achievement.