Object Detection Proctoring
Monitor assessment environments with object detection, configurable rules, and reviewable evidence.
Protect remote assessments with CloudTest Object Detection Proctoring through candidate-environment scanning, mobile phone detection, secondary-device signals, book and note detection, unauthorized-material monitoring, configurable object policies, webcam evidence, timestamped detection events, duration and recurrence analysis, AI-assisted review, and detailed proctoring reports for recruitment tests, coding assessments, academic examinations, certifications, campus hiring, and remote technical screening.
Assessment environment rules
Assessment object perimeter
Define which objects belong inside the candidate workspace
Build object policies around the assessment purpose, permitted resources, candidate instructions, technical requirements, accommodations, environmental conditions, privacy policy, and authorized review procedure.
Classify objects according to policy instead of treating every detection as misconduct.
A detected object may be required, permitted, temporarily visible, part of an approved accommodation, unrelated to the assessment, or restricted. Review should consider the object category, duration, movement, location, candidate activity, and complete session context.
Mobile and secondary devices
Detect configured phone, tablet, secondary-screen, or additional electronic-device signals.
Books and reference material
Identify selected book, notebook, printed-page, paper, or reference-material categories.
Accessories and permitted tools
Classify allowed keyboard, mouse, headset, calculator, writing tool, or approved assessment equipment.
Environment and candidate context
Review object position, visibility, recurrence, movement, candidate interaction, and nearby session activity.
Object detection journey
Follow each detection from environment scan to contextual review
Prepare the workspace, establish object rules, detect configured categories, record event duration and recurrence, connect nearby session activity, and support a responsible human decision.
Prepare environment
Present desk, device, material, lighting, camera, and support instructions.
Apply object policy
Define allowed, reviewable, restricted, and accommodation-based categories.
Detect object signals
Identify configured mobile, paper, book, device, and accessory events.
Record event context
Connect timestamp, duration, movement, recurrence, and nearby activity.
Complete review
Evaluate policy, technical conditions, explanations, and complete evidence.
Live object detection studio
Monitor configured objects without interrupting the assessment
Capture selected mobile-device, paper, book, secondary-screen, accessory, and workspace signals while preserving object position, visibility duration, recurrence, movement, and session context.
Convert object signals into chronological and reviewable evidence.
AI-assisted detection can help classify configured object categories and organize events by timestamp, location, duration, recurrence, movement, and policy status. A detected object should not automatically be treated as proof of misconduct.
Object detection signal library
Configure object categories according to the assessment
Select mobile devices, additional screens, books, notebooks, printed material, writing tools, calculators, headphones, accessories, and environmental-object signals based on the permitted-resource policy.
Mobile phone and tablet detection
Record configured phone, tablet, smart-device, or handheld electronic-device signals visible within the assessment environment.
Secondary monitor and device signals
Detect selected additional-screen, second-laptop, secondary-device, or external-display categories where technically supported.
Book, notebook, and printed-page detection
Identify configured books, notebooks, printed sheets, loose paper, written notes, or reference-material categories.
Calculator and permitted-tool classification
Distinguish required or permitted assessment equipment from restricted objects using role-specific and test-specific rules.
Headphone, headset, and accessory signals
Record selected headset, earphone, wearable, accessory, and external-equipment signals according to assessment instructions.
Timestamped object-event and reviewer records
Organize object category, position, timestamp, duration, recurrence, candidate interaction, reviewer comments, and final decision history.
Configurable object policies
Separate allowed tools from objects that require review
Build clear policies for required equipment, permitted resources, reviewable objects, restricted material, approved accommodations, temporary environmental objects, technical support, and reviewer escalation.
The same object can have a different meaning in different tests.
A calculator may be required in one assessment and restricted in another. Notes may be allowed during an open-book test but not during a closed-book examination. Object detection should always follow the configured assessment policy.
Equipment and resources candidates may use
Define the primary computer, keyboard, mouse, permitted calculator, approved headset, writing tool, accessibility device, or authorized reference material.
Objects that require context before a decision
Configure mobile phones, temporary paper, additional devices, environmental items, accessories, or uncertain object signals for contextual review.
Objects prohibited by the assessment instructions
Define restricted books, printed answers, unauthorized notes, secondary screens, recording equipment, communication devices, or other disallowed material.
Approved exceptions and assistive equipment
Record approved medical devices, assistive technology, accessibility tools, movement aids, communication support, or other permitted exceptions before the test begins.
Object evidence review
Review detected objects with their complete session context
Examine object category, frame location, duration, recurrence, movement, candidate interaction, nearby browser or assessment activity, environmental conditions, candidate explanation, and applicable policy.
The session contains one mobile-phone event, one paper-note signal, one brief secondary-device signal, and one object movement event.
The reviewer can compare each event with visibility duration, frame position, recurrence, candidate interaction, assessment progress, technical context, explanation, and permitted-resource policy.
Primary laptop, keyboard, mouse, approved headset, and configured workspace were detected.
The phone appeared near the desk edge and was removed without candidate interaction.
The material remained visible for twenty-three seconds during a question transition.
The signal appeared for six seconds and did not recur during the remaining assessment.
Detection events, reviewer queue, and session evidence were preserved with the completed test.
Organize object events without treating every detection as misconduct.
AI-assisted analysis can help prioritize events using configured object categories, confidence, duration, recurrence, movement, candidate interaction, and policy status. Final decisions should include the complete evidence record and authorized human judgement.
Object detection report
Illustrative assessment-environment integrity summary
Session completed with limited object-review events
The configured workspace remained consistent during most of the assessment, while selected mobile, paper, and secondary-device signals were preserved for contextual review.
Reviewer summary
Illustrative session recommendation
Final decisions should consider the assessment instructions, permitted resources, object position, duration, candidate interaction, technical conditions, approved accommodations, explanation, privacy obligations, and authorized human review.
Object detection use cases
Protect remote assessments across recruitment, education, and certification
Use CloudTest Object Detection Proctoring for developer screening, aptitude tests, campus hiring, academic examinations, certification programmes, scholarship tests, entrance assessments, employee evaluations, and distributed remote testing.
Recruitment assessments
Monitor configured mobile, paper, device, book, and accessory signals during role-based remote hiring tests.
Coding and technical assessments
Connect object detections with code-editor activity, browser events, compilation logs, and candidate-session evidence.
Campus and graduate hiring
Apply consistent workspace rules, object policies, detection evidence, and reviewer workflows across high-volume tests.
Academic examinations
Support remote term tests, practical examinations, entrance assessments, scholarship tests, and programme evaluations.
Certification programmes
Protect professional, technical, product, compliance, partner, and skill-validation assessments conducted remotely.
Internal employee evaluations
Evaluate employees for promotion, internal mobility, training completion, technical progression, and organisational certification.
Object detection benefits
Build transparent environment evidence for remote assessments
Create a consistent process for workspace instructions, object policies, configured detections, timestamped evidence, duration and recurrence analysis, candidate explanations, reviewer notes, and final decision records.
Standardize environment monitoring
Apply consistent object categories, permitted-resource rules, detection settings, escalation criteria, and review procedures.
Consistent monitoringCreate time-linked object evidence
Connect object category, position, duration, recurrence, movement, and candidate interaction with the complete session.
Contextual evidenceReduce manual monitoring effort
Use AI-assisted event organization to help reviewers focus on selected detections instead of manually observing every session.
Efficient reviewSupport responsible human decisions
Preserve object evidence, policy context, candidate explanations, accommodations, reviewer comments, and decision history.
Human oversightFrequently asked questions
Object Detection Proctoring FAQs
Learn how CloudTest supports mobile-phone detection, note and book signals, secondary-device monitoring, configurable object policies, timestamped evidence, accommodations, privacy, and human review.
What is Object Detection Proctoring?
Object Detection Proctoring uses configured computer-vision signals to identify selected objects in a remote assessment environment. These may include mobile phones, additional devices, books, notes, paper, calculators, headsets, accessories, and other configured categories.
Can mobile phones and secondary devices be detected?
Configured mobile-phone, tablet, secondary-screen, second-laptop, or additional-device signals can be recorded where technically supported. Each event should be reviewed with its duration, position, recurrence, and candidate context.
Can books, notes, and printed material be identified?
Selected book, notebook, loose-paper, written-note, printed-page, and reference-material categories can be monitored according to the configured assessment policy.
Does every detected object indicate misconduct?
No. An object may be required, permitted, temporarily visible, unrelated to the test, part of an approved accommodation, or incorrectly classified. Review should consider the complete evidence and policy.
Can different assessments use different object rules?
Recruitment tests, coding assessments, academic examinations, certification programmes, and open-book or closed-book tests can use different permitted-object, restricted-object, and review policies.
What information can be included in an object-detection report?
Reports can include object category, timestamp, frame position, visibility duration, recurrence, movement, candidate interaction, nearby session activity, configured policy, reviewer notes, candidate explanation, and final status.
How should approved accommodations be handled?
Approved assistive technology, medical equipment, accessibility tools, communication support, or other permitted exceptions should be documented before the assessment and considered during review.
Should AI make the final object-integrity decision?
AI-assisted object signals should support an authorized review process. Final decisions should consider assessment rules, complete session evidence, technical conditions, candidate explanations, accommodations, privacy obligations, and human judgement.
Ready to protect remote assessments?
Build transparent, configurable, and reviewable object-detection workflows with CloudTest.
Configure mobile-device detection, secondary-screen signals, book and note monitoring, permitted-object policies, restricted-material rules, timestamped evidence, accommodations, reviewer workflows, privacy notices, and detailed proctoring reports.