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Edge AI & Video Analytics

Video processed on site; only events and evidence leave.

Ooumph deploys edge AI appliances that process video where it is captured: on-site, on GPU-accelerated hardware, on a runtime built for offline-capable sovereign operation. Institutions obtain analytics without transferring footage to external cloud services, and privacy controls are applied at the point of capture.

  • On-site processing on edge appliances; no mandatory cloud path
  • OSIE™ runtime: offline-capable, encrypted model weights, role-based access
  • Privacy controls at capture: masking, retention enforcement, DPDP-aligned metadata handling
  • Every automated detection written to an auditable record
Privacy Engineering

Privacy controls applied at the point of capture.

Analytics patterns are scoped to lawful institutional purposes, and biometric identification is not offered as a product line; where a government client operates under a specific legal mandate, scope is defined inside that engagement's legal framework.

Controls at the edge
Masking and redaction
Configured at the edge, before anything moves.
Retention limits
Enforced in the processing pipeline, not only in policy documents.
Access to raw footage
Role-based control with audit logging.
Metadata handling
Aligned to the DPDP Act 2023.

Biometric identification is not offered as a product line.

Computer Vision Patterns

Analytics patterns, configured per site.

Delivered as configured patterns on the firm's own stack, tuned per site; presented in the designed-capability register.

Site safety

PPE presence checks (helmets, high-visibility wear) at entry points and work zones, with alerts routed to supervisors and the command layer.

Perimeter monitoring

Intrusion and loitering detection on defined zones, with early smoke and fire cueing into the alarm workflow. Alerts route to operators for verified response.

Access automation

Automated number-plate recognition for gate management, visitor logging and parking operations, integrated with access-control workflows.

Operations analytics

Queue, occupancy and movement measurement for facility management.

Edge Infrastructure

Edge appliance deployment.

Analytics runs on edge compute specified and commissioned by Ooumph: compact GPU-accelerated appliances for site rooms and district facilities, sized under the same workload-first discipline as all sovereign compute, and commissioned with OSIE for offline-capable operation. High-volume video remains local; only events and evidence move across the network.

Sovereign & AI Compute
What sits on site
Compact GPU-accelerated appliances
Sized for site rooms and district facilities.
Workload-first sizing
The same discipline applied to all sovereign compute.
Commissioned with OSIE
Offline-capable operation where connectivity is not guaranteed.
High-volume video stays local
Only events and evidence cross the network.
Integration

Integration with the command layer.

Events enter the VMS and the command centre as standard inputs: an intrusion detection selects the nearest camera and opens an incident, a safety violation routes to the site supervisor with the frame attached, and every event is written to the audit record.

ICCC & Command Centres
Get Started

The first step: a single-site pilot.

A scoping session on the site, the risk and the lawful purpose, followed by a written pilot design with defined success metrics.

info@ooumph.com · Lucknow · Delhi · Bhubaneswar · Bhopal