AI system

AI Threat Detection and Escalation

Real-time threat detection system across 20+ camera feeds, escalating critical threats via SMS and email alerts. Optimized backend with PostgreSQL and Redis caching, improving system throughput by 40%.

Role
Full-stack developer — backend optimization, threat logic, and dashboard development.
Engagement
Own product
Links
Live site GitHub
AI systemAI Threat Detection and EscalationPython · Flask · PostgreSQL

01/Overview

Executed a real-time threat detection system across 20+ camera feeds, escalating critical threats via SMS and email alerts. The system features a Next.js dashboard for live visualizations and automated deployments via Kubernetes.

Technical highlight

Automated deployment using Docker and Kubernetes, reducing deployment errors by 50%.

02/The problem

High-throughput video processing and low-latency escalation were required for real-time security across multiple feeds.

03/The solution

Integrated YOLOv8 for detection and optimized the backend with Redis caching and PostgreSQL, achieving a 40% throughput improvement.

04/The result

Reduced response time by 25% for security personnel and established a robust, scalable surveillance pipeline.

05/Key features

  • 01Real-time detection across 20+ camera feeds.
  • 02Automated SMS and email escalation for critical threats.
  • 03Next.js dashboard for live visualization.

06/Tech stack

Start a project

Need something like this? Let's talk ↗

Next case study

Hamro Niwas →