Company Name:
Quocent Sdn Bhd (1250625-H)
Sector
Manufacturing, Telecommunication, Transportation, Government, Digital Services, Digital Health, Digital Finance, Transportation
Tech Enabler
Artificial Intelligence (AI) and/or Big Data Analytics (BDA)
Support Sustainability or ESG
Yes
Overview:
The Video Surveillance and Analytics System is designed to transform traditional security footage into actionable intelligence, enabling businesses to proactively monitor and optimize operations. By integrating advanced video analytics, this system allows for real-time alerts and comprehensive reports, helping prevent crises before they develop.
The solution supports offsite monitoring, providing operators with immediate notifications of any discrepancies or security breaches. The system is implemented for a client in Singapore, who provides security solutions to manufacturing companies in Singapore.
The main objective of this surveillance platform is to analyse the video feed captured through different types of IP cameras installed across different industries or residential properties and raise alerts when there are any discrepancies detected. The discrepancies are related to any type of intrusion around the premises, any sort of detection of fire & smoke, any unauthorized personnel accessing the premises or areas, etc.
Pain Points:
1. Proactive Crisis Prevention: Real-time alerts and monitoring help prevent incidents from escalating into full-blown crises.
2. Operational Optimization: Insights derived from video analytics allow businesses to fine-tune operations and improve overall efficiency.
3. Security Enhancements: The system detects unusual activities such as loitering, intrusion, and unauthorized object presence, ensuring heightened security across facilities.
4. Offsite Monitoring: The ability to monitor from remote locations enables continuous oversight without needing a physical presence.
Solution/Services:
AI-driven Driven Video Surveillance and Analytics System
The system converts traditional surveillance footage into actionable intelligence, addressing security and operational challenges by providing real-time alerts for suspicious activities, enabling proactive crisis prevention, and optimizing business operations.
Key Features and Functionalities
• Face Recognition: Identifies and tracks individuals in real-time.
• Object Detection: Detects and classifies objects, monitoring for security risks.
• Loitering Detection: Alerts to unauthorized prolonged presence in sensitive areas.
• Intrusion Detection: Monitors and alerts to potential breaches.
• Additional: Real-time notifications, offsite monitoring, and detailed reporting enhance security and operational efficiency
Implementation:
•The Video Surveillance and Analytics System was implemented by leveraging the client’s existing security setup. The integration process began with connecting the existing IP cameras to the new system. The Real-Time Streaming Protocol (RTSP) streams from these cameras were configured to feed directly into the analytics modules. This setup allowed the system to analyse video feeds in real-time without requiring a complete overhaul of the existing security infrastructure. The system's flexibility enabled easy integration with various types of cameras and network configurations, ensuring compatibility and smooth operation.
Technology Used:
• Operating System: Ubuntu 20.04 provided a stable and secure environment for running the analytics software.
• Programming Languages & Libraries:
-Python 3.6.9: Used as the primary programming language for developing the analytics modules.
-OpenCV v4.5.4: Facilitated real-time video processing and image recognition tasks.
-face_recognition v1.2.3: Powered the face recognition features within the system.
-NumPy v1.19.3: Supported data handling and matrix operations essential for image processing.
-ImageAI, TensorFlow v2.6.2, PyTorch, Keras, Imutils: Provided machine learning capabilities for object detection, face recognition, and intrusion detection.
• Hardware:
-Computer: Intel i5 11th Generation processor, 16GB RAM, 500GB SSD for fast data processing and storage, and 8GB NVIDIA GeForce Graphics for accelerated video processing.
-Cameras: 2 Megapixel IP cameras with RTSP support, 30-meter coverage, night vision, and dust/waterproof features were integrated into the system.
-4CH NVR: The Network Video Recorder supported 4-channel IP camera input, 8MP resolution for high-definition video playback, and up to 6TB of storage capacity.
-Network Switch: Used to ensure proper connectivity and setup of the cameras within the local network.
• Customization: To tailor the system to the client's specific security needs, customization was essential. Key areas of customization included defining sensitive zones for monitoring, such as restricted areas where loitering or intrusion would trigger alerts. Custom algorithms were also implemented to distinguish between normal and suspicious activities, reducing false alarms.
• Configuration:
-Alert Thresholds: The system was configured to trigger alerts based on pre-defined thresholds, such as the duration of loitering or the type of objects detected.
-User Interface: The user interface was customized to display real-time alerts and video feeds in a user-friendly manner, allowing security personnel to respond quickly to potential threats.
-Offsite Monitoring: Configuration settings allowed for remote access, enabling security teams to monitor and manage the system from offsite locations via secured connections.
Benefit:
Quantifiable Benefits:
• Reduced Security Incidents: 30% decrease in security breaches.
• Increased Operational Efficiency: 40% reduction in staff required for monitoring.
• Cost Savings: 25% savings on security operations.
• Enhanced Data Utilization: 20% improvement in overall business efficiency.
Qualitative Benefits:
• Improved Security: Enhanced overall security and crisis prevention.
• Proactive Crisis Management: Faster response to potential threats.
• Enhanced Productivity: Greater focus on critical tasks and efficient use of resources.
• Remote Accessibility: Continuous monitoring from offsite locations.
• Scalability and Flexibility: Easily adaptable to growing security needs.
Impact on Efficiency, Productivity, and Revenue:
• Efficiency Gains: Streamlined security operations and quicker decision-making.
• Productivity Boost: Reduced manual workload and increased focus on strategic activities.
• Revenue Protection: Prevention of losses and protection of business reputation.