Industry
Security
Duration
4 months
Team Size
8 people
1. Client Struggle
The client’s monitoring team was overwhelmed by the sheer volume of surveillance data they had to handle every day. With more than 450 CCTV feeds distributed across multiple native camera portals, operators were forced to jump between interfaces just to keep up. This constant switching led to fatigue, missed events, slow response times, and an overall inconsistent monitoring experience. Administrators struggled to maintain operational efficiency, especially as the number of cameras grew across sites. Every new site meant more manual workload, rising costs, and a greater chance for human error — making the existing system unsustainable for long-term scaling.
2. Client Vision for Change
The client wanted to transform their monitoring operations by adopting a system where technology handled the bulk of surveillance, allowing operators to focus only on critical decisions. Their vision included:
- 1Eliminating fragmented camera portals by bringing all feeds into one unified VMS.
- 2Reducing dependency on manpower and lowering operational cost per camera.
- 3Introducing intelligent automation to identify and prioritize genuine security events.
- 4Minimizing false alerts so operators spend time only on high-value incidents.
- 5Accelerating investigations through fast, intuitive search and easy access to footage.
- 6Creating a scalable monitoring ecosystem capable of handling new sites and additional cameras without increasing staff.
- 7Improving overall accuracy and response efficiency across the entire remote monitoring operation.
3. Our Response
- Katomaran approached the client's problem with a people-first mindset. Instead of simply replacing the existing software, we redesigned the video monitoring workflow from the ground up. We analyzed how operators interacted with different camera portals, mapped their daily challenges, and identified where time was being wasted. This helped us design an intelligent ecosystem that uses automation to simplify their work.
- Our solution allowed the AI Video Analytics Engine to handle the heavy lifting, watching every feed, filtering genuine incidents, and ensuring operators could respond quickly without being overwhelmed by noise.
4. Technology as an Enabler
The transformation was driven by advanced technology presented in a simple, easy-to-use way. AI video analytics continuously analyzed all camera feeds to detect people, vehicles, license plates, unattended objects, and unusual movements. A real-time event wall surfaced only with actionable alerts, ensuring operators were not distracted by irrelevant footage. The unified VMS brought all live feeds, playback, and event logs into one interface, eliminating the need to switch between platforms. Additionally, an NLP-powered search engine allowed operators to retrieve incidents in seconds by typing queries like “show person detected last night” or “vehicle activity in Zone 4.” Technology became an invisible assistant — always monitoring, always alerting, always helping.
5. What We Built
- A unified, cloud-based security platform designed to simplify monitoring, improve detection accuracy, and make investigations faster and more intuitive for operators.
- Key Capabilities:
AI Event Detection
Detects people, animals, vehicles, license plates, unattended objects, and unusual movements in real time.
Intelligent Search
NLP-powered search helps operators find incidents quickly using natural language queries.
Unified Monitoring Dashboard
All live feeds, alerts, playback, and events in one clean, easy-to-use interface.
High-Performance Playback
Smooth timeline navigation with event markers and quick clip export for investigations.
Cloud Recording & Cloud Platform
Secure cloud storage with remote accessibility and effortless scalability as new sites come online.
Role-Based Access Control
Tailored permissions for operators, supervisors, admins, and auditors to ensure secure and structured operations.
Integrated Ticket Management
Convert alerts into tickets, track progress, and close cases within the same system.
Multi-Brand Camera Support
Compatible with 10+ camera brands, enabling flexible onboarding across different hardware ecosystems.
Services Offered
AI Video Analytics Development
We build custom AI models that detect events, improve accuracy, and automate real-time surveillance tasks.
DevOps & Cloud Deployment
We deploy scalable cloud infrastructure with automated pipelines, secure storage, and reliable system performance.
Mobile Application Development
We create user-friendly mobile apps for remote monitoring, alert management, and on-the-go incident access.
Tech Stack
The technologies and frameworks we leveraged to build a robust, scalable, and high-performance solution.
NestJS
Backend development to handle real-time data processing and API integrations.
Next.js
Frontend development to create a seamless user experience.
python
Python is used for the AI Video Analytics Engine.
react
React is used for the frontend development.
postgresql
PostgreSQL is used for the database.
golang
Golang is used for the backend development.
6. Before & After Transformation
| Before | After |
|---|---|
Operators manually watched 450+ camera feeds across multiple portals. | One unified platform for all live feeds, alerts, playback, and events. |
High false alerts overwhelmed operators and slowed response. | AI filters credible events, reducing false alerts and improving accuracy. |
Investigations were slow due to scattered playback and separate tools. | Intelligent search retrieves incidents in seconds from one place. |
Heavy dependency on manpower for monitoring and verification. | Operators focus only on verified, high-value events — not raw footage. |
Adding new cameras increased workload and operational cost. | Seamless onboarding of new sites and cameras without extra manpower. |
No centralized workflow for tracking incidents or ticketing. | Ticket management, playback, and analytics integrated into one cloud platform. |
7. Moments of Value
- Real situations where the platform made an immediate and noticeable difference in day-to-day operations.
- Key Moments
Faster Incident Detection
AI surfaced genuine events instantly during peak hours, allowing operators to respond in real time instead of scanning through multiple feeds.
Instant Investigation
Operators retrieved critical clips with a single search query, reducing investigation cycles from several minutes to just a few seconds.
Operator Efficiency Boost
Staff who previously struggled with 40–50 feeds comfortably handled more streams because AI removed noise and distractions.
Night Shift Accuracy
Automatic alerts during low-visibility hours helped teams avoid missed events and significantly reduced false alarms.
Effortless Site Onboarding
New cameras and locations were added without hiring additional operators, enabling smooth expansion across sites.
Conclusion
The AI-powered video analytics platform completely transformed the client’s security monitoring workflow. By integrating advanced analytics, automated event detection, and centralized monitoring tools, the client gained a scalable, reliable, and highly efficient system capable of supporting hundreds of cameras with minimal human intervention. The project proves how intelligent automation can redefine remote security operations and deliver measurable improvements in accuracy, speed, and scalability.
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Transform Your Security Monitoring with AI Automation
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