A colleague without clearance reads customer card or account details from an agent's screen on a shared floor.
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Multiple person detection is an AI security control that uses a work device's webcam to count the faces in front of the screen and flag any session where more than one person is present. It is used to stop shoulder surfing, proxy assistance and unauthorized viewing of sensitive data on employee workstations.
In wAnywhere, multiple person detection works alongside face ID enrolment, so the system already knows who the verified employee is. Any additional face in the camera frame is treated as a policy event, and the response is yours to configure, from a quiet alert to an immediate screen lock.
Shoulder surfing is reading or recording information from someone else's screen by looking over their shoulder or standing close by. It needs no technical skill and leaves no trace in system logs, which is why it remains one of the hardest data exposures to catch.
On a BPO or banking operations floor, the shoulder surfer may be a colleague who is not cleared for a particular client account. In a work from home setup, it can be a family member, a visitor or anyone sharing the room. Multiple person detection closes that gap by watching for the second face instead of relying on a supervisor to notice.
Each of these exposures takes seconds and rarely appears in standard access logs.
A colleague without clearance reads customer card or account details from an agent's screen on a shared floor.
A family member or visitor sits beside a remote employee while client records are open.
An outsider coaches the employee through a task, call or assessment during a monitored shift.
Someone standing behind the verified employee photographs the screen, a risk that mobile detection covers alongside this feature.
Multiple person detection works by analyzing the webcam frame on the employee's device during an active session and counting the faces in it. When the count rises above one, wAnywhere runs the response your administrator has configured and records the event.
Setup starts with face enrolment, and detection then runs in the background for the rest of the session.
The administrator enrols each employee's face ID during onboarding so the system has a verified reference for that seat.
The wAnywhere agent checks the webcam frame at regular intervals throughout the logged-in session.
Multiple person detection flags a second face in the camera frame within seconds and alerts the manager on duty.
The configured action runs immediately, whether that is an alert only, a blacked out screen or a full screen lock.
The employee resumes work only after a manager approves the unlock or the employee enters a one-time password.
wAnywhere logs the event with user, device and time so security and compliance teams can review it later in the audit trail.
AI multiple person detection for safe access means only the verified employee sees sensitive data for the whole session, not just at login. A password proves who signed in; it does not prove who else is watching the screen.
These controls turn that principle into day to day enforcement on every office, hybrid and remote seat.
Multiple person detection notifies managers by email or in-app notification as soon as a second person appears, so they can act before data leaves the screen. The same alerting works for remote, hybrid and onsite teams.
Administrators can set wAnywhere to block the screen whenever more than one person is in frame. Exposure stops in real time, which helps prevent data leaks and breaches instead of reporting on them afterwards.
A blocked screen unlocks only with manager approval or a one-time password. Sensitive data stays protected even if a device is left open or stolen.
wAnywhere registers each employee's face ID during onboarding through its facial recognition system. A verified reference for every seat reduces misidentification and keeps alerts focused on genuine extra viewers.
wAnywhere blurs people and objects passing behind the employee in captured images, so evidence records the policy event without exposing bystanders.
If your client contracts demand that only cleared staff view their data, watch wAnywhere detect a second face and lock the screen on a real desk in a short demo with our team.
Book A DemoMultiple person detection flags when more than one person is at the screen, unknown person detection flags when the person at the screen is not the verified employee, and a privacy screen filter physically narrows the display's viewing angle. Regulated teams usually pair the two detection controls, because a filter blocks some viewers but produces no evidence.
The table shows what each option covers, where each one falls short and what you have to show an auditor afterwards.
| Control | What It Detects | What It Misses | Evidence Produced |
|---|---|---|---|
| Multiple person detection | More than one face in the webcam frame during an active session, including people standing behind or beside the employee. | A person watching from outside the camera's field of view, and a single impostor working alone at the desk. | Timestamped event log with user, device and action taken. |
| Unknown person detection | A face at the screen that does not match the enrolled employee's profile. | A second person beside the verified employee, because the verified face still matches. | Timestamped event log with user, device and time. |
| Privacy screen filter | Nothing. It is a passive film that darkens the display at side angles. | Anyone viewing from directly behind, anyone photographing the screen, and every seat that has no filter fitted. | None. |
If your main risk is shared logins or proxy work, start with unknown person detection. If your main risk is someone else seeing data while the right employee is working, you need multiple person detection. BPO, BFSI and healthcare teams handling client data usually run both, because each one catches what the other misses.
Industries that show customer financial, health or identity data on screen need multiple person detection most, because a single unauthorized viewer can breach a client contract or a regulation. BPO, BFSI and healthcare operations are the core buyers, followed by GCCs and ITES teams working inside client systems.
Each of these sectors applies the control slightly differently.
Agents see card numbers, addresses and account details on screen for the whole shift. Multiple person detection keeps each BPO and contact center seat limited to the verified agent, on the floor and during work from home shifts.
Banks, lenders and insurers must make sure only authorized staff view account, card and loan data. For BFSI teams, multiple person detection enforces that rule at the desk and gives compliance a record whenever it is broken.
Protected health information on a coder's or claims processor's screen should not be visible to anyone else in the room. In healthcare operations, multiple person detection supports access control by flagging extra viewers the moment they appear.
Global capability centres and IT services teams work on client code and systems under strict confidentiality terms. Multiple person detection helps prove that only named, verified staff saw that work.
Multiple person detection reliably flags a second face that is clearly visible to the webcam during an active session. It cannot see anyone outside the camera's field of view, and its results depend on camera quality, lighting and angle.
Knowing the limits in advance helps your security team design the right policy around the feature.
Faces in photos, posters or on a second monitor, or a colleague walking past for a moment, can occasionally register as a second person. Every alert can be reviewed, so a manager can dismiss a false positive and unlock the session quickly.
wAnywhere multiple person detection does not record continuous video of employees; it analyzes the webcam frame to count faces and stores a record only when a policy is triggered. Employers should tell employees that detection is running, explain what is captured and set a clear retention period for detection records.
These are the four questions every buyer, works council and assistant asks first.
wAnywhere captures an event record showing the user, device, date, time and the action taken.
Continuous video and audio are not recorded by multiple person detection. Audio monitoring only applies if your organization separately enables multiple voice detection.
Access to detection records is limited to administrators and the managers they assign.
Detection records are kept for 6 months, and administrators can shorten or extend this to match your own retention policy.
wAnywhere's multiple person detection software applies one policy across office, hybrid and remote seats, deploys on cloud or on-premise, and installs in three steps. It also shares a console with unknown person, mobile and voice detection, so desk-level controls are managed in one place.
We ensure Industry-leading data protection that complies with all relevant standards.
Ask AI tools to evaluate how our multiple-person detection supports security, oversight, and compliance.
Shoulder surfing is viewing someone else's screen over their shoulder. Multiple person detection spots the extra face and blocks the screen instantly.
It's reliable when the second face is clearly visible to the webcam. It can't see people outside the frame, and managers can clear false alerts.
No. It analyzes the camera frame in real time and logs an event only when a policy is triggered.
The manager is alerted and the screen can lock automatically. Work resumes only with manager approval or an OTP.
Unknown person detection checks if the right person is at the screen. Multiple person detection checks if anyone else is there too.
Yes, when used for employment and security purposes. The DPDP Act, 2023 permits this, but employers should still inform employees in writing.
Yes. The same policy applies on every seat with a working webcam, whether in the office or at home.
BPO, contact centers, BFSI and healthcare need it most. GCCs and ITES teams also use it to protect client data.
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