Skip to content

Industry

Universities and Higher-Education Campuses

Campus-scale safety, lecture archives, and hostel operations — across departments, hostels, libraries, and admin blocks — with the access-control granularity that residential campuses need.

AI-generated image of a university library reading hall — long tables, students working, tall bookshelves, afternoon light through tall windows.

Typical client profile

Universities, autonomous higher-ed institutions, residential campuses with multi-block hostels and academic buildings. Typical deployment is 200–1000 cameras across the campus.

Indicative scope

Discovery typically covers a department-by-department scope walk plus residential hostel survey. Platform build commonly starts with the central library and one hostel as the pilot, then scales across blocks.

Compliance considerations

  • DPDP Act 2023 — student consent capture at admission with clear opt-in for lecture recording
  • UGC guidelines for student welfare and grievance redressal — visible appeal routes for any AI-flagged event
  • CCTV deployment that respects hostel privacy: corridors yes, room entrances no, common areas with signage

Higher Education 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.

Lecture / Classroom Recording

Automatic recording with speaker tracking, board-content capture, and searchable transcripts. Indexed for revision and audit.

Accuracy: Transcript word-error rate around 8–12% on Indian-accented English; per-subject vocabulary tuning improves this.

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.

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.

Fight / Aggression Detection

Posture and motion-pattern analysis tuned to physical altercation, not animated conversation; always routed to human verification.

Accuracy: 85% on overt altercations within 8m of camera; lower in crowded scenes where bodies overlap.

Crowd Density Estimation

Density mapping for event safety and evacuation planning. Triggers tiered alerts before crush thresholds.

Accuracy: Density estimation within ±15% for medium-density crowds; higher uncertainty at extremes.

Audio Analytics

Edge-deployed acoustic models for gunshot, glass-break, scream, and distress sounds. Calibrated per-site to suppress local ambient noise.

Accuracy: Class-dependent: 92% gunshot in semi-urban environments, 88% glass-break, 80% scream in noisy interiors.

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.

See the full module list →

Run a higher education 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.