AI/ML & Computer Vision for Security

Harnessing Artificial Intelligence and Computer Vision to secure, monitor, and protect environments in real time. We deliver cutting-edge AI and Computer Vision solutions that enhance security, automate surveillance, and detect potential threats proactively. Our expertise lies in integrating advanced machine learning models and real-time image/video analytics into robust security ecosystems for businesses, campuses, industrial facilities, and smart cities.

Core Capabilities

  • Real-time Threat Detection: AI-driven systems for identifying suspicious activities, intrusions, and abnormal behaviors in live camera feeds.
  • Facial Recognition & Access Control: High-accuracy identity verification to enable secure, seamless entry to restricted areas.
  • Crowd Monitoring & Anomaly Detection: Tracking crowd density, identifying unusual behavior, and ensuring safety in large gatherings.
  • Perimeter & Object Protection: Detecting unauthorized vehicles and abandoned objects.
  • Predictive Security Analytics Leveraging ML models to forecast risks and optimize response strategies.
  • Integration with IoT & Legacy Systems Seamless deployment with existing security infrastructure and IoT-based monitoring tools.

Technologies We Use

  • TensorFlow
  • PyTorch
  • OpenCV
  • scikit-learn
  • YOLO
  • Detectron2
  • Mediapipe
  • DeepStream SDK
  • NVIDIA Jetson
  • AWS
  • Azure
  • GCP
  • ONVIF
  • WebRTC
  • REST
  • MQTT
AI/ML/ComputerVision for Security

Key Use Cases & Case Studies

Human Recognizer

Designed for a large chain of hypermarkets, this AI-powered solution ensures compliance with COVID-19 restrictions by accurately monitoring customer flow. Key Features: Purpose: Tracks the number of visitors entering and exiting the store to prevent overcrowding and maintain legal limits. Technology: Utilizes neural networks and Python to develop advanced people recognition models. Accuracy: Achieves a 94% success rate in detecting visitor movements across multiple cameras and entrances. Functionality: Combines heuristics and motion analysis to track entrances and exits effectively. Notification System: Alerts administrators to halt further entries when capacity limits are reached.

Video Demo: Person Detection and Re-Identification

This demo showcases advanced computer vision technologies used for person detection and re-identification in surveillance video analysis.

  • Technologies:Programming Language: C++Libraries/Frameworks: OpenCV, Caffe
  • Capabilities:Accurate identification of individuals across different surveillance feeds.Effective re-identification to track movements within and across environments.
  • Application: Enhances security by enabling seamless monitoring and tracking in real- time.
Demo
Recognition of Abnormal Traffic in the Network

This system leverages AI to identify and analyze irregularities in web traffic, enhancing cybersecurity and network integrity.

  • Purpose: Detects abnormal web traffic patterns to identify potential threats or unusual activities.
  • Technology: Incorporates source mapping for precise traffic analysis and tracking.
  • Application: Strengthens network security by enabling real-time detection of malicious or anomalous traffic.
Demo
Human Identification Using Thermal Cameras

This solution enables real-time identification of individuals in diverse environments, leveraging advanced AI and thermal imaging technology.

Key Details:

Client: A leading manufacturer of thermal scanners and guidance systems.

Technology: Collected and labeled a comprehensive dataset. Trained a neural network enhanced with image preprocessing for optimal performance.

Capabilities: Achieves over 94% accuracy in detecting individuals in challenging environments, including forests, grasslands, and water. Effectively identifies individuals even when they are partially obscured

Applications: Ideal for search-and-rescue missions, wildlife monitoring, and security operations in remote or low-visibility areas

 

Thermal Camera Human Auto IdentificationAdvanced thermal imaging technology combined with AI enables accurate identification of human movement in challenging environments.

  1. Swimming Human IdentificationShowcases the system’s ability to detect and track individuals swimming in water. Watch the Demo
  2. Crawling Human IdentificationHighlights accurate identification of individuals crawling on various surfaces. Watch the Demo
  • Technology: Utilizes thermal imaging and AI to identify human motion with precision.
  • Applications: Designed for use in search-and-rescue missions, surveillance, and security operations in low-visibility or complex environments.
Real-Time Weapon Detection Using AI

An advanced AI-driven tool designed to enhance automated security systems by identifying weapons with high precision.

Key Features:

Technology: Built using the YOLO (You Only Look Once) neural network architecture. Trained on a carefully curated and annotated dataset of the most common weapon types.

Performance: Achieves 92%+ accuracy in real-time weapon detection.

Automation: Instantly recognizes weapons in surveillance footage. Automatically triggers a panic button or alerts security teams upon detection.

Applications: Ideal for use in high-security zones such as airports, schools, public events, and corporate facilities.

Weapon Detection for Maximum Security

This cutting-edge solution leverages deep learning to identify weapons in real-time, ensuring enhanced protection in sensitive areas.

Demonstrations:

Weapon Detection in Action

Showcases the system’s ability to detect weapons and provide instant alerts.

Watch the Demo

Visual Weapon Detection Using Deep Learning

Demonstrates the visual processing and deep learning techniques behind the system.

Watch the Demo

Key Highlights:

Technology: Trained on a vast dataset using deep learning techniques like YOLO for high accuracy

Capabilities: Detects a wide range of weapons with 92%+ accuracy and triggers automated security responses.

Applications: Ideal for safeguarding public events, corporate premises, schools, and other high-risk locations.

Human Behavior Recognition and Suspicious Activity Detection

Our AI-driven security system leverages advanced neural networks to analyze and recognize human postures and movements in real-time. The system is designed to detect abnormal behavior and potential threats, with the ability to classify these behaviors as either normal or suspicious.

Key capabilities include:

Posture and Movement Recognition: Identifying human actions and gestures.

Behavior Classification: Training networks to distinguish between normal and abnormal behaviors, offering clear classifications for security personnel.

Emotion Recognition: Analyzing facial expressions and emotional states of individuals to gauge potential threat levels.

Weapon Detection: Identifying certain types of weapons in the environment, improving situational awareness.The system can effectively identify a wide range of suspicious activities, such as:

  • Arrest scenarios
  • Shooting incidents
  • Road accidents
  • Fighting
  • Robbery
  • Arson

With over 85% accuracy, this system is capable of monitoring public spaces and alerting authorities to potential security risks in real time.

Key Features:

Abnormal Behavior Detection: Using machine learning, the system can spot unusual patterns of human activity that deviate from the norm, enhancing security in crowded or sensitive areas.

Video Runtime Monitoring: The system operates efficiently during runtime, analyzing video footage for suspicious actions.

Machine Learning Integration: Through transfer learning, our system continually improves its ability to detect threats with high precision.

For a demo, you can view our Shoplifting Detection in Action.

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and discover how our expertise can bring your ideas to life.

We’ve successfully delivered dozens of AI, ML, Computer Vision, Web, and Mobile solutions across industries — and this portfolio shows just a glimpse of what we can achieve.