Compare Chrome extensions: Eklavvya AI Face Recognition vs ChromeLens

Stats Eklavvya AI Face Recognition Eklavvya AI Face Recognition ChromeLens ChromeLens
User count 10 70,000+
Average rating 0.00 3.63
Rating count 0 32
Last updated 2021-07-25 2020-05-22
Size 8.19M 107.52K
Version 1.0 0.0.10
Short description
Will Detect and Recognize Face. Visual impairment simulation and auditing tools to develop for accessibility.
Full summary

Eklavvya Chrome Extension is useful to conduct AI proctored exams on desktop/ laptop device with google chrome browser. It helps to identify person who is attempting the online exam.

There are many advanced features enabled to identify face, detect electronic objects around the user during exam, multi face detection etc.

You can attempt AI Remote Proctored Exam of Eklavvya platform using this google chrome extension.

Face recognition is one of the key components of the verification process for remote users during the online exam process.

The system takes a photo of the remote user attempting the exam.At any point of time during the exam, if there is a mismatch or deviation in the face or more than one face detected in front of the screen or no person faces detected in front of the screen during online exam then system records in the form of an alert.

Exam administrators can view and monitor those alerts for identification of exam cheating.

ChromeLens is a Google Chrome extension that provides a suite of tools to help with web accessibility development.

  • Lens (Vision Simulator) Interact with a website as a completely/partially blind or a colorblind person.

  • Accessibility Audit Run a website through an series of accessibility rules and easily discover elements in your website that do not comply with them.

  • Tab-tracker Key website features should be navigable solely via the keyboard (tab button), while not making the user jump through hoops to get to a feature. With the tab-tracker, you can visually track the flow of navigation through a website.

Open sourced at https://github.com/chromelens/chromelens Built during greylockhackfest 2016