Korean AI Assessment Firm Grap Deploys Smart Glasses Detection Feature, Adopted by 21 Clients in Two Months
Korean AI assessment company Grap has deployed a smart glasses detection feature for its online exam proctoring system Monito. The feature uses multi-angle capture and human review to minimize false positives and has been adopted by 21 major enterprises and public institutions within two months of launch.
Korean AI assessment solution provider Grap announced that its "Precision Glasses Verification" feature for the online exam proctoring system Monito has been adopted by 21 major clients, including large corporations and public institutions, within two months of its release. The feature addresses the growing challenge of smart glasses, which are visually indistinguishable from regular eyewear and evolve rapidly, making them difficult to detect based on specifications alone.
To balance detection efficiency with accuracy, Grap implemented a system of "pre-exam multi-angle capture and direct proctor judgment." Candidates must photograph four specific areas of their glasses—front, side, inner surface, and temple tips—via the Monito app before the exam begins. Online proctors then compare these images against pre-registered photos and anomaly indicators to verify potential misconduct. This approach aims to minimize the risk of false positives associated with standalone AI judgments.
Grap CEO Lim Sung-soo stated that the system was designed from the outset to prevent candidates from being unfairly penalized by technical errors, hence the use of AI-assisted photography to provide clear evidence for proctors. The company plans to update the system in November with a Vision-Language Model (VLM) feature capable of analyzing behavioral context in real-time to detect anomalies such as switching to smart glasses during an exam. Previously, Grap launched the security browser Monito Plus in November last year and integrated an LLM-based agent for summarizing suspicious activities in May this year.