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.

Mobile phone detection Notes and book signals Secondary-device monitoring Contextual human review
Assessment desk with a laptop, mobile phone, notes, and accessories for object detection monitoring
VSN remote-assessment / environment-scan / object-monitoring-active Vision active
Mobile phone
Notes or paper
Primary device
Accessory
Illustrative environment scan

Four objects classified in the candidate workspace

Primary laptop Allowed
Mobile phone Review
Paper notes Policy based
Headset Allowed
Illustrative object policy

Assessment environment rules

PC Primary computer Allowed
MOB Mobile device Review
NOTE Written notes Configured
BOOK Reference book Restricted
Illustrative object events
10:05 MOB Phone visible Review
10:06 MOVE Phone removed Logged
10:28 NOTE Notes detected Policy
Object-detection evidence Object category, frame position, visibility duration, recurrence, movement, assessment policy, nearby activity, candidate explanation, technical context, and reviewer notes
Active Environment scan
Classified Object categories
Logged Detection events
Ready Review report

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.

ZONE

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.

Candidate desk zone Configured environment and object-monitoring area
MOB

Mobile and secondary devices

Detect configured phone, tablet, secondary-screen, or additional electronic-device signals.

BOOK

Books and reference material

Identify selected book, notebook, printed-page, paper, or reference-material categories.

TOOL

Accessories and permitted tools

Classify allowed keyboard, mouse, headset, calculator, writing tool, or approved assessment equipment.

ENV

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.

SET

Prepare environment

Present desk, device, material, lighting, camera, and support instructions.

01
02
RULE

Apply object policy

Define allowed, reviewable, restricted, and accommodation-based categories.

SCAN

Detect object signals

Identify configured mobile, paper, book, device, and accessory events.

03
04
TIME

Record event context

Connect timestamp, duration, movement, recurrence, and nearby activity.

REV

Complete review

Evaluate policy, technical conditions, explanations, and complete evidence.

05

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.

LIVE Remote assessment object-monitoring session 41:26 remaining
Primary laptop
Phone
Notes
Headset
Illustrative object-detection assessment view
AI

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.

MOB Records configured phone and secondary-device signals
NOTE Identifies selected paper, notebook, and printed-material events
TIME Preserves visibility duration, recurrence, and movement
REV Groups selected detections for contextual human review

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.

MOB
Electronic devices

Mobile phone and tablet detection

Record configured phone, tablet, smart-device, or handheld electronic-device signals visible within the assessment environment.

SCR
Additional screens

Secondary monitor and device signals

Detect selected additional-screen, second-laptop, secondary-device, or external-display categories where technically supported.

BOOK
Reference material

Book, notebook, and printed-page detection

Identify configured books, notebooks, printed sheets, loose paper, written notes, or reference-material categories.

CALC
Assessment tools

Calculator and permitted-tool classification

Distinguish required or permitted assessment equipment from restricted objects using role-specific and test-specific rules.

HEAD
Accessories

Headphone, headset, and accessory signals

Record selected headset, earphone, wearable, accessory, and external-equipment signals according to assessment instructions.

AUDIT
Evidence

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.

RULE

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.

Required or Allowed

Equipment and resources candidates may use

Define the primary computer, keyboard, mouse, permitted calculator, approved headset, writing tool, accessibility device, or authorized reference material.

Primary laptop Keyboard Approved calculator Accessibility equipment
Review Required

Objects that require context before a decision

Configure mobile phones, temporary paper, additional devices, environmental items, accessories, or uncertain object signals for contextual review.

Mobile phone Loose paper Second device Uncertain category
Restricted

Objects prohibited by the assessment instructions

Define restricted books, printed answers, unauthorized notes, secondary screens, recording equipment, communication devices, or other disallowed material.

Unauthorized book Printed answers Second screen Communication device
Accommodation

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.

Assistive technology Medical device Approved support Documented exception

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.

REV Candidate object-detection evidence timeline Human review
68 minutes Session duration
4 events Review queue
Verified Candidate access
Completed Assessment status

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.

10:00 SCAN
Initial environment scan completed

Primary laptop, keyboard, mouse, approved headset, and configured workspace were detected.

Clear
10:17 MOB
Mobile phone visible for fourteen seconds

The phone appeared near the desk edge and was removed without candidate interaction.

Review
10:36 NOTE
Paper-note signal detected near the keyboard

The material remained visible for twenty-three seconds during a question transition.

Policy
10:49 SCR
Brief secondary-screen signal near frame edge

The signal appeared for six seconds and did not recur during the remaining assessment.

Context
11:08 END
Assessment submitted successfully

Detection events, reviewer queue, and session evidence were preserved with the completed test.

Complete
AI

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.

Environment continuity 95%
Object-policy continuity 90%
Illustrative review confidence 85%

Object detection report

Illustrative assessment-environment integrity summary

92 environment index

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.

Candidate environment continuity 96
Permitted-object continuity 92
Restricted-object continuity 89
Session evidence quality 86

Reviewer summary

Illustrative session recommendation

OBJ
Remote assessment session AI-assisted object-event review
Review complete
ENV
Workspace status The configured candidate environment remained consistent during most of the assessment.
Stable
EVT
Review events One mobile phone, one note, one secondary-device, and one object-movement event were recorded.
4
CTX
Detection context Signals were brief, time-linked, limited in recurrence, and reviewed against the configured policy.
Limited
NEXT
Recommended action Retain the assessment result with completed reviewer notes and the full object-event record.
Proceed
Object detection should support review, not replace responsible judgement

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.

HIRE

Recruitment assessments

Monitor configured mobile, paper, device, book, and accessory signals during role-based remote hiring tests.

CODE

Coding and technical assessments

Connect object detections with code-editor activity, browser events, compilation logs, and candidate-session evidence.

CAMP

Campus and graduate hiring

Apply consistent workspace rules, object policies, detection evidence, and reviewer workflows across high-volume tests.

EDU

Academic examinations

Support remote term tests, practical examinations, entrance assessments, scholarship tests, and programme evaluations.

CERT

Certification programmes

Protect professional, technical, product, compliance, partner, and skill-validation assessments conducted remotely.

INT

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.

01

Standardize environment monitoring

Apply consistent object categories, permitted-resource rules, detection settings, escalation criteria, and review procedures.

Consistent monitoring
02

Create time-linked object evidence

Connect object category, position, duration, recurrence, movement, and candidate interaction with the complete session.

Contextual evidence
03

Reduce manual monitoring effort

Use AI-assisted event organization to help reviewers focus on selected detections instead of manually observing every session.

Efficient review
04

Support responsible human decisions

Preserve object evidence, policy context, candidate explanations, accommodations, reviewer comments, and decision history.

Human oversight

Frequently 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.