Cloud security · Security & surveillance
SRCARE 360
Cloud video surveillance with AI alerts, no on-site servers.
Client under NDA
- Industry
- Security & surveillance
- Timeline
- 24 weeks
- Platforms
- Web · iOS · Android
- Year
- 2025–2026
Results
What changed, and how we measured it
99.9%
Platform uptime
Platform uptime from continuous monitoring
200+
Security incidents prevented
Incidents flagged by the system and resolved before escalation
30+
Businesses protected
Businesses with active accounts on the platform
3apps
Web, iOS and Android
Web, iOS and Android apps in production
The story
Cloud video surveillance with AI alerts, no on-site servers.
Challenge
- On-site recorders cost money up front and fail silently when disks fill or power drops.
- Footage lived on local hardware, so owners could not check cameras from their phone.
- No intelligence: someone had to be watching to catch an incident as it happened.
- Multi-site businesses had no single view across all their locations.
What we did
- Stream to the cloud: Cameras stream through WebRTC for low-latency live view, with recordings stored on AWS S3.
- Deliver anywhere: CloudFront serves playback globally so footage loads fast on any network.
- Detect threats: AI analysis flags unusual activity and pushes alerts to the right people in real time.
- Watch the watchers: 24/7 health monitoring alerts the team when a camera goes offline, before it becomes a blind spot.
Result
- 30+ businesses protected with 99.9% uptime and zero downtime incidents.
- 200+ security incidents prevented through real-time AI alerts.
- Customers no longer need expensive on-site recording hardware.
Product
The system in use
How it works
Five steps, every day
Capture
Cameras stream securely from each business location.
Stream
WebRTC delivers low-latency live video to viewers.
Store
Recordings are written to AWS S3 with metadata in MongoDB.
Analyze
AI models scan streams and trigger real-time alerts.
Access
Node.js APIs and CloudFront power the web and mobile apps.
Four parts, one system
Cloud video management
Live view, recording and playback for every camera, with no on-site recorder to buy or maintain.
AI-powered threat detection
Automatically flags suspicious activity and sends instant alerts, so incidents are caught while they happen.
24/7 health monitoring
Tracks every camera's connection and stream quality and raises an alert the moment one drops.
Web, iOS & Android apps
One account across browser and React Native mobile apps, with multi-site views for larger customers.
Built with
- Node.js
- WebRTC
- MongoDB
- AWS S3
- CloudFront
- React Native
Delivery
Discovery & camera integration (weeks 1-3) → Streaming core (weeks 4-9) → Storage & playback (weeks 10-14) → AI alerts & health checks (weeks 15-19) → Mobile apps & launch (weeks 20-24). A team of 2–4 engineers.
Related
Related client cases
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