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Automated real-time proctoring is trained to identify and flag any suspicious behaviour on-camera, including:
Candidate missing
Extra person in the frame
Impersonation
Use of additional devices
Our assessment engine is augmented by enhanced proctoring capabilities for reliable testing.
Candidate missing
Extra person in the frame
Impersonation
Use of additional devices
Candidate missing
Extra person in the frame
Impersonation
Use of additional devices
Our features have mutiple benfits and you can enjoy our features for free for a week!
With fully automated and robust proctoring, human invigilation is out of the question, cutting not only costs, but also time and biases.
Combine facial recognition with Talscale features like screen record, plagiarism detection, and tab switch tracking to ensure complete authenticity of the candidate’s knowledge.
With fully automated and robust proctoring, human invigilation is out of the question, cutting not only costs, but also time and biases.
Without human surveillance, candidates tend to work more freely and efficiently, hence giving their best in your coding tests.
Talscale’s facial recognition works in 3 simple steps
Candidate submits samples of their face and surroundings before the assessment. Talscale records the image to use as a reference.
Talscale monitors them live using advanced facial recognition and image processing algorithms during the test.
Suspicious behavior is flagged and reported automatically to you - this includes usage of other devices, presence of another person, or the candidate being missing.
Combine facial recognition with other Talscale features for advanced proctoring: