Client Overview
A prominent organization in the earth resources and mining sector is responsible for overseeing complex operational environments.
With diverse facilities requiring round-the-clock monitoring, innovative solutions were needed to manage access, track vehicle movements, and ensure personnel safety.
Project Context
The initiative focused on deploying video AI solutions tailored to specific operational challenges.
The goal was to reduce manual oversight, enhance security, and streamline processes by leveraging automated insights across various use cases.
Problem Statement
The client faced multiple monitoring challenges, including unauthorized access to sensitive areas, inefficient tracking of vehicle movements, and inadequate oversight of personnel in critical operational zones.
These issues impacted safety compliance, operational efficiency, and overall site security
Key Obstacles
Canteen Accessibility: Monitoring and logging personnel accessing the canteen outside permitted hours.
Weigh Scale Truck Movements: Tracking truck movements based on license plates during each shift.
Fuel Station Operations: Recording truck entry, refueling duration, and exit times accurately.
Generator Room Security: Controlling access to the generator room and identifying unauthorized entries.
Crusher Area Supervision: Ensuring continuous operator presence during shift hours to maintain safety and productivity.
Tools & Technologies
Camera Systems:
High-resolution cameras, including ANPR-enabled units for vehicle tracking and face recognition cameras for personnel identification, equipped with IR and HD capabilities.
Networking & Storage:
Robust network infrastructure featuring Gigabit routers, access points, and PoE switches, complemented by high-speed connectivity and a scalable NVR system for secure video storage.
AI Software:
Custom-developed AI algorithms for face recognition, automatic number plate recognition (ANPR), safety gear detection, heavy machinery tracking, intrusion detection, and progress monitoring.
Processing Infrastructure:
Advanced rack servers powered by high-performance multi-core CPUs and GPUs (e.g., NVIDIA Tesla series), with ample memory and storage capacities to support real-time processing and analytics.
Implementation Process
Assessment and Planning
Katomaran evaluated EKAA HRIM’s operational needs and challenges, developing a detailed implementation plan with defined timelines and strategies tailored for each use case.
Deployment and Integration
The camera networks were strategically installed across critical areas, ensuring optimal coverage. AI algorithms were integrated into the existing infrastructure, with robust data communication protocols established to facilitate seamless operations.
Training and Optimization
Following deployment, the AI models were fine-tuned using real-world data and initial feedback. Comprehensive training sessions were held to equip the client’s staff with the skills needed to operate and maintain the system effectively.
Continuous Monitoring and Support
Katomaran provided ongoing support and performance reviews, ensuring continuous system optimization and proactive issue resolution across all monitoring solutions.
Key Actions & Milestones
Specialized Hardware Installation:
Deploy ruggedized, weather-resistant cameras and networking equipment throughout the mining site in dense forest, ensuring reliable performance despite challenging terrain and environmental conditions.
Iterative AI Model Deployment:
Roll out custom AI models designed for equipment tracking, worker safety, and environmental monitoring in phases, allowing for continuous refinement based on real-world feedback.
System Integration & Dashboard Development:
Integrate diverse surveillance and analytics modules into a unified, user-friendly dashboard optimized for remote operations, providing real-time insights and alerts even in low-bandwidth settings.
Comprehensive Testing & Validation:
Conduct rigorous testing, including on-site trials under various environmental conditions, to validate system performance, safety compliance, and operational efficiency, marking each milestone with successful pilot runs and performance benchmarks.
Quantitative Outcomes
Improved Compliance: Automated canteen and generator room monitoring ensured that access protocols were consistently enforced.
Enhanced Reporting: Detailed logs and real-time alerts for truck movements and fuel station activities streamlined operational oversight.
Increased Operational Efficiency: Continuous monitoring of crusher area operator availability reduced downtime and improved safety compliance.
Qualitative Impact
The integrated video AI solutions transformed operational management by reducing manual monitoring efforts, increasing security, and enabling data-driven decision-making. Client feedback highlighted improved situational awareness and faster response times across all critical zones.