South Korea's Grep Launches AI Glasses Verification Feature for Exams, Adopted by 21 Companies and Institutions Within Two Months
South Korean AI assessment solution company Grep announced that the smart glasses verification feature of its online exam proctoring platform Monito has been adopted by 21 companies and institutions within two months of launch. The feature, launched in August this year, requires examinees to photograph four parts of their glasses through the Monito app before the exam—the front, side, inner side, and the end of the temple—with AI-assisted image capture and manual comparison and judgment by proctors to reduce the risk of misjudgment. Grep plans to add a VLM-based real-time behavior analysis feature in November this year to identify abnormal behaviors such as switching glasses or repeatedly touching glasses.
Body · AI translation
English text is being prepared.
On October 28, South Korean AI assessment solution company Grep announced that the smart glasses detailed verification feature launched by its online exam proctoring platform Monito has been adopted by 21 companies and institutions within two months of going live. As incidents of using smart glasses to cheat in exams continue to emerge, such devices are becoming a new challenge for online exam security management.
It is understood that the feature was launched in August this year and mainly identifies whether examinees are wearing smart glasses that could be used for exam cheating through a combination of multi-angle photography before the exam and manual proctoring. Currently, customers adopting the feature include large enterprises in industries such as IT, semiconductors, finance, manufacturing, automotive, and retail, as well as state-owned enterprises, public institutions, and broadcasting organizations.
Grep stated that the appearance of smart glasses is increasingly similar to ordinary glasses, and given frequent product updates, it is difficult to accurately determine the device type based on appearance alone. Therefore, Monito does not rely entirely on AI automatic determination, but instead uses AI to assist in capturing device images and provide proctors with a basis for verification.
Specifically, examinees wearing glasses need to use the Monito app to photograph four parts of the glasses before the exam begins: the front, side, inner side, and the end of the temples. The photographing process can be completed automatically by AI or manually by the examinee. Proctors can compare the captured images with pre-registered photos and notes, and when suspicious situations arise during the exam, make manual judgments in conjunction with pre-exam records, thereby reducing the adverse impact of AI misjudgments on examinees.
In terms of exam security technology, Grep has previously rolled out multiple features. In November 2025, the company released the installable secure browser Monito Plus to block unauthorized program execution and external device connections; in May 2026, it introduced an AI agent based on a large language model (LLM) to automatically summarize suspicious behavior during exams and generate reports.
Next, Grep plans to add a real-time behavior analysis feature based on a vision-language model (VLM) in November this year. This feature will identify abnormal behaviors such as examinees changing glasses or repeatedly touching their glasses during the exam, and alert proctors.
Grep CEO Lim Sung-soo stated that when designing Monito, the company valued the potential impact of technical misjudgments on examinees, and therefore provides proctors with a clear basis for verification through a combination of AI image capture and manual judgment. In the future, the company will further improve the accuracy of online exam proctoring through behavior context analysis features.
Source: Biggo
Submission/News Tips: tougao@youxituoluo.com
Article/Business Cooperation: Lin Nan (WeChat 19250561593)
Join the industry exchange group: Lin Nan (WeChat 19250561593)
English text is being prepared.
Digital Technology Industry Information and Service Platform
English text is being prepared.