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SentinelGrid — Sovereign Perimeter Intelligence

AI Surveillance & Threat Detection

Overview

Project at a Glance

Industry
  • Industrial IoT, Automation & Connected Operations
Services
  • Artificial Intelligence & Automation
  • Robotics, IoT & Computer Vision
  • GIS, Geospatial AI & Satellite Analytics
Region

Pakistan

Key Highlights
  • Unified Intelligence

    Cameras, Maps & Incidents in One View

  • Pakistan

    Client Region

  • Sovereign Deployment

    On-Premises & Air-Gapped

Capabilities

Key Features

Discover how AI, computer vision, and geospatial intelligence work together to improve situational awareness, strengthen monitoring, and support faster operational decisions.

Intelligent Video Analytics

01 / 05

Apply a multi-stage computer vision pipeline to identify relevant activity, track detections, and filter nuisance alerts. The proposed verification workflow incorporates site-specific data and physical plausibility checks to improve the reliability of alerts in real operating conditions.

Key capabilities

  • AI-assisted person and vehicle detection
  • Multi-stage detection verification
  • Object tracking and physical plausibility checks
  • Site-specific model tuning and verification
Key Challenges & Solutions

Problems we solve

The operational hurdles that stood between the business and its goals.

  1. Large camera networks generate more visual information than operators can consistently assess manually, especially during extended monitoring periods.

    Our Solution

    AI-Assisted Video Analytics

    Apply automated detection, tracking, and verification to help operators focus on relevant activity rather than continuously reviewing every feed.

Solutions built for Artificial Intelligence

  • AI
  • IoT
  • Business Intelligence
Technology

Technology Stack

A modern, scalable technology stack built for performance, security and long-term growth.

  • ObObject Detection
  • MuMulti-Stage Verification
  • ObObject Tracking
  • CaCamera Calibration
  • TeTerrain & Building Visibility Analysis
  • LoLocally Hosted Map Services
  • GPGPU-Accelerated Analytics
  • CoContainerized Services
  • RoRole-Based Access Control
  • TaTamper-Evident Audit Logging
  • SiSigned Offline Updates
End Results

Measurable results, delivered

Greater visibility. More trustworthy alerts. SentinelGrid is designed to connect video intelligence, geospatial context, and auditable operational workflows while keeping sensitive data under the organization's control.

Key Outcomes
Outcome 01

Unified Operational Visibility

Bring camera feeds, mapped incidents, terrain, building information, and field-unit positions into a single operational view.

01 / 05

Development Status

The project overview documents an existing offline operator-interface prototype reviewed by an intended end-user team, alongside a multi-camera detection pipeline that has produced measured field data. Full integration of coverage certification, site-trained verification, cross-camera corroboration, and the complete operational workflow remains subject to further development and validation.

Engineering Validation Targets

The proposal defines the following goals for future validation:

Pending validation
Detection performance
≥ 95%real crossings detectedAt least 95% detection of real crossings within certified camera ranges in daylight and illuminated night conditions, and at least 90% in adverse weather.
High-priority false alarms
≤ 0.1per camera, per dayNo more than 0.1 per camera per day over a 14-day evaluation period.
Alert delivery
≤ 2 sat the 95th percentileWithin two seconds at the 95th percentile, with a target position error of no more than five metres at 100 metres.
Coverage assessment
100%of pilot-area cameras mappedCertification and mapping of all cameras within the designated pilot and validation areas.
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