Industry
Corporate Campuses and Tech Parks
Access control, visitor flows, occupancy intelligence, and meeting-room utilisation across multi-floor campuses — with the SSO and HR-system integration that enterprise IT teams expect.
Typical client profile
Single-tower corporate offices through multi-building campuses and tech parks. Typical deployment is 50–500 cameras per campus with FRS at building entries and high-security zones.
Indicative scope
Corporate Discovery often runs in parallel with an existing facilities transformation project. We provide the engineering depth that facilities and IT teams need to land safety and intelligence on their existing camera estate.
Compliance considerations
- DPDP Act 2023 — employee data handled under the employer's published privacy notice and data-processing register
- STPI and BPM-specific compliance where applicable
- Federated identity with the client's IdP (Okta, Azure AD, Workspace) — no parallel directory we own
Corporate Campuses stack
Modules typically deployed in this vertical.
The platform supports more — this is the configuration we most often land on for clients in this category.
Face Recognition (FRS)
Hardware-grade FRS terminals with depth and IR anti-spoofing at gates and high-traffic entries; software liveness for back-end matching.
Accuracy: 95% indoor adult under controlled lighting · 90% under-12 with periodic re-enrolment · 88% outdoor daytime
Visitor Management
Pre-registration, on-arrival capture, parental-consent workflow for visiting children, and badge issuance with auto-expiry.
Accuracy: Process compliance >99% with mandatory-field forms; identity match per FRS module.
ANPR / Licence Plate Recognition
Read Indian commercial and private plates at vehicle gates — single-lane, multi-lane, and toll-style installations.
Accuracy: 94% on standard high-security plates in daylight · 88% on aged/dirty plates · 85% at night with IR fill.
RFID + Face Hybrid
Two-factor entry for high-security zones: RFID badge presents, face confirms — one fails, both fail.
Accuracy: 98% true-accept with both factors present; explicit reject on any mismatch.
People Counting
Footfall and occupancy by zone, by hour, with per-site calibration. Counts are de-identified at the edge.
Accuracy: 97% at zone entries with overhead camera; 92% at oblique angles.
Heatmap & Dwell Analytics
Aggregate dwell-time and traffic-pattern visualisation. All trajectories aggregated; no individual tracks persisted.
Accuracy: Visualisation quality is qualitative — we publish methodology, not vanity scores.
Queue Management
Wait-time estimation, queue-length thresholds, and abandonment alerts — wired to staff escalation flows.
Accuracy: Wait-time estimates within ±20% under steady throughput.
Intrusion Detection
Polygon-defined perimeter and restricted zones, schedule-aware, with separate models for human vs. animal vs. vehicle.
Accuracy: 93% detection on humans crossing defined polygons; <2 false alerts per camera per night with proper masking.
Fire / Smoke Early Detection
Visual smoke and flame detection as an early warning layer that complements — not replaces — fire-panel sensors.
Accuracy: 85% on visible flame within camera FOV; smoke detection accuracy is highly scene-dependent and is treated as supporting, not primary.
AI-Prioritised Alert Routing
Severity ranking, dedupe and suppression rules, escalation chains with on-call windows, and SLAs per alert class.
Accuracy: We measure mean-time-to-acknowledge and false-positive rate per class, monthly.
Run a corporate campuses site through Discovery.
Tell us about the site count, the existing camera estate, and the compliance perimeter. We'll come back with a scoping outline.