Smart Surveillance

Elevate urban safety with Trois Infotech’s Smart Surveillance solutions. Our advanced AI and Computer Vision technologies redefine how cities manage traffic, ensuring proactive enforcement and preventing crimes. Discover a safer, smarter city with Trois Smart Surveillance—the future of urban security.

Leveraging advanced AI and Computer Vision, we have pioneered intelligent solutions for traffic management and crime prevention. Our technologies empower cities to proactively address challenges, fostering a safer, more secure urban environment for everyone.

Intelligent Traffic Management System (ITMS)

Solution Summary

ITMS is a sophisticated system that integrates technology and data analytics to enforce traffic rules and regulations efficiently. ITES utilizes various technologies, including cameras, sensors, artificial intelligence (AI), and data analytics, to enhance traffic enforcement measures. High-resolution cameras and IOT devices with Artificial Intelligence and Computer Vision based event detection capabilities are strategically placed at traffic junctions, roadsides, or critical locations to monitor traffic violations.

Applications

Features and Functionalities

Red Light Violation Detection to Identify vehicles that run red lights at intersections. It captures images or videos of violations for evidence.
Identify vehicles parked in restricted zones or no-parking areas and enforce.
Identify vehicles traveling in the wrong direction on one-way streets or highways.
Analyze and optimize traffic flow at intersections. Adjust signal timings based on real-time traffic conditions.
Monitor speed limits in school zones. Enforce safety measures to protect students during school hours.
Identify drivers and passengers not using seatbelts.
Vehicle Over crowding and Triple ride two wheeler detection
Identify road obstructions, people on road, animals on road or stopped vehicles etc.

Speeding Detection of vehicle speeds on roads and highways with evidence images, speed, ANPR and associated metadata.
Monitor and enforce the proper use of bus lanes or high-occupancy vehicle (HOV) lanes.
Automatically recognize and capture license plate numbers. Check against databases for stolen vehicles, expired registration, or outstanding violations.
Ensure compliance with pedestrian crosswalk signals. Detect and penalize vehicles that fail to yield to pedestrians.
Identify vehicles that follow too closely (tailgating). Monitor and enforce safe following distances.
Detecting drivers using mobile phones or engaging in other distracting activities.
Driving without Helmet detection.

Solution Components

High-resolution cameras equipped with computer vision capabilities to Capture images and videos of traffic situations and violations.

License Plate Recognition (LPR) System to Identify and record license plate numbers for vehicle identification.

Radar or integrated with computer vision systems to monitor vehicle speed and detect violations by comparing with speed limits.

Computer vision algorithms for detecting vehicles crossing intersections during red lights.

Computer vision algorithms to detect lane markings to Identify vehicles deviating from their lanes without signaling.

Computer vision for identifying pedestrians and their crossing patterns and ensure pedestrian safety and detect violations related to pedestrian crossings.

Computer vision algorithms for identifying parked vehicles to detect and record violations related to illegal parking.

Data analytics platform to Analyze traffic data, generate reports, and identify patterns for better decision-making.

Centralized Control Center with Centralized management software to Monitor traffic enforcement components, respond to violations, and coordinate actions.

Automated Ticketing System generates and issues tickets for traffic violations.

Variable message signs, public announcements to Inform drivers and the public about traffic rules, violations, and the presence of enforcement systems.

Mobile Enforcement Units (Vehicles equipped with camera systems) in areas where fixed cameras may not be feasible.

Integration with Traffic Management Systems.

Benefits

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All in One Parking Management Solution

Solution Summary

Computer Vision based automated Parking Management System with ANPR and BOOM Barrier Integration. Park Pro is a one stop solution for efficiently managing parking in busy areas, such as public/commercial places or large event venues. Such a system can help reduce congestion, improve safety, and enhance the overall parking experience for customers.

Applications

Features and Functionalities

Solution Components

ANPR Cameras: To capture vehicle license plates with direction information accurately at entry and exit points.

Overview Camera: To overview the parking slots with occupancy status tracking.

Backend Parking Management System: To store vehicle entry and exit times, license plate numbers, and parking duration. Interface that manages parking operations occupancy monitoring, fee calculations, and reporting.

Access Control Mechanisms: Automated entry/exit based on plate recognition and permissions granted through the system.

Payment Terminals and Integration: Supports various payment methods such as cash, credit cards, mobile payments, or online prepayment.

Benefits

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Drone AI Smart Surveillance Solutions

Solution Summary

Drones are increasingly being used in surveillance and monitoring applications due to their agility, mobility, and ability to capture high-quality aerial footage. These unmanned aerial vehicles (UAVs) equipped with cameras and sensors can provide valuable visual data and real-time insights in various surveillance scenarios. Drones in surveillance have advantages such as flexibility, cost-effectiveness, and reduced risk to human personnel in hazardous environments.

Applications

Features and Functionalities

Computer vision algorithms onboard the drone can process visual data in real-time, enabling immediate analysis and insights.
Computer vision enables the drone to identify and avoid obstacles in real-time, enhancing flight safety and reliability.
Smart Flight Modes: The drone camera system may include smart flight modes that leverage computer vision, such as Follow Me mode, Orbit mode, and Waypoint navigation.
Precision Agriculture: The system can analyze crop health and identify areas of stress using computer vision, providing data for precision agriculture practices.
Automated Inspection: The system can inspect critical infrastructure, such as bridges, power lines, and pipelines, using computer vision, reducing the need for manual inspections.
Search and Rescue Support: Drones with computer vision capabilities can assist in search and rescue missions by identifying potential targets or victims.
Traffic Monitoring: Computer vision enables the drone to monitor traffic flow, detect congestion, and manage traffic signals for efficient road management.
Automated Alerts and Notifications: The system can generate automated alerts and notifications based on detected events or anomalies.

The system can automatically detect and track objects of interest, such as vehicles, people, or specific targets, based on predefined criteria.
Autonomous Navigation: The system can plan and execute autonomous flight paths using computer vision, reducing the need for manual piloting.
Geospatial Mapping and 3D Modeling: Computer vision algorithms can create geospatial maps and 3D models from aerial imagery, aiding in land surveying and infrastructure planning.
Environmental Monitoring: Computer vision enables the drone to monitor environmental factors, such as pollution levels, deforestation, or wildlife populations.
Facial Recognition: Computer vision algorithms can recognize and match faces against databases of known individuals, aiding in security and identification.
Public Safety and Surveillance: The system can support law enforcement in monitoring crowds during events or protests, ensuring public safety and security.
Disaster Response: Drones with computer vision can quickly assess the extent of damage and identify hazards during disaster response operations.
Environmental Protection: The system can monitor and detect illegal activities, such as poaching or illegal logging, to aid in environmental protection efforts.

Solution Components

Drone Hardware: The physical drone with multiple rotors (Quadcopter or Hex copter) for stability and maneuverability.

High-Resolution Cameras: Integrated Zoom Lense camera system, including HD or 4K cameras, thermal camera and laser guided IR for capturing clear and detailed images and videos.

Sensors: Additional sensors like GPS, accelerometers, gyroscopes, and altimeters for precise navigation and data collection.

Communication Systems: Enable real-time communication between the drone and the ground control station.

AI-Enabled Software: AI algorithms for detecting and recognizing objects, people, vehicles, or specific patterns in the captured video feed.

Facial Recognition: Advanced facial recognition algorithms for identifying individuals from aerial footage.

Anomaly Detection: Algorithms to identify unusual or suspicious activities based on predefined patterns or behaviors.

Deep Learning Models: Trained models for continuous learning and improvement in recognizing objects or patterns.

Communication Systems: High-bandwidth communication systems for transmitting live video feeds and data between the drone and the ground control station.

Remote Control: Two-way communication for controlling the drone’s movements and operations remotely.

Ground Control Station (GCS): User-friendly interface for operators to control the drone, view live feeds, and access AI analytics.

Mission Planning: Tools for planning flight paths, defining surveillance zones, and scheduling missions.

Data Storage: Storage systems to archive recorded video footage and collected data.

Onboard AI Analytics Processing Unit: Systems can have onboard processing units for real-time analysis, reducing dependence on constant communication with the ground station.

Cloud Integration: Integration with cloud-based AI processing for more complex analytics and storage.

Power Supply Battery Systems: Efficient and long-lasting battery systems to power the drone during surveillance missions.

Swappable Batteries: Systems that allow quick battery replacement for extended missions.

GPS and Navigation Systems: GPS for accurate positioning and navigation.

Obstacle Avoidance: Sensors and algorithms for obstacle detection and avoidance during flight.

Integration with Ground Systems: Integration with existing security systems, surveillance cameras, and access control systems on the ground.

Benefits

AI-Based Object Detection and Recognition can enhance the security by detecting and recognizing potential threats or suspicious activities.
Automation of surveillance tasks, reducing the need for constant human monitoring.
Surveillance capabilities in low-light or nighttime conditions can ensure Continuous monitoring and security during all hours.
Live video feed for real-time monitoring can help in Immediate response to security incidents.
Continuous learning and improvement in surveillance capabilities to ensure Adaptation to changing environments and emerging threats.
Seamless communication with central monitoring stations to ensure quick response to incidents with coordinated efforts
Centralized control for multiple drones, optimizing surveillance operations. Immediate reporting of detected incidents.
Faster response times for law enforcement or security personnel.
Uninterrupted surveillance in adverse weather.
Increased reliability and availability of surveillance capabilities.

Contact your Solution Expert

Computer Vision based Campus and Perimeter Security

Solution Summary

AI and Computer Vision-based Campus and Perimeter Security Solutions are essential for several reasons, primarily due to their ability to enhance the effectiveness, efficiency, and intelligence of traditional security systems. Enables proactive response to security incidents, preventing or minimizing potential risks.

Reduces the need for constant human monitoring, allowing security personnel to focus on critical tasks. In short, modern computer vision based solutions can offer a proactive, intelligent, and scalable approach to safeguarding campuses and perimeters, addressing both known and emerging security challenges.

Applications

Features and Functionalities

Intelligent Video Analytics Identifies and tracks objects, such as people, vehicles, or suspicious items.
Facial Recognition can be used to grant or deny access based on recognized faces. Sends alerts for recognized individuals or unauthorized persons.
License Plate Recognition (LPR) monitors and tracks vehicles entering or exiting the premises.
Manages parking access based on license plate recognition.
Allows remote monitoring via mobile devices.
Alerts security personnel to unusual behavior patterns.
Public Announcement Systems for emergency announcements and communication.
Triggers alerts to emergency response teams in case of security breaches.

Connects with local emergency services for rapid response.
Analyzes patterns and behaviors to detect anomalies or unusual activities.
Intrusion Detection with Perimeter Monitoring and Virtual Fencing. Detects and alerts for unauthorized entry into secured areas. Defines virtual boundaries with alerts triggered upon crossing.
Provides real-time surveillance through live video streaming.
Analyzes crowd flow and manages queues efficiently.
Automatically generates reports for security incidents. Maintains logs for all security-related activities.
Centralizes control through a security command center.

Solution Components

High-resolution IP cameras with capabilities for day and night vision to Capture live video feeds for monitoring and analysis.

AI-Based Deep learning algorithms for object detection and classification to Identify and categorize objects, such as people, vehicles, or intruders.

Advanced facial recognition algorithms to Identify and authenticate individuals, track movement, and manage access.

Video Analytics Platform for real-time video analysis of video feeds, detect anomalies, and trigger alerts.

Command and Control Center management software to Monitor and manage security components, respond to alerts, and coordinate emergency responses.

Access Control Systems with Smart card readers, biometric scanners.

Intrusion Response Systems to Trigger alarms, lock doors, or initiate emergency protocols in response to security threats.

Geographic Information System (GIS) to Provide a visual representation of the campus layout and security infrastructure.

Cloud servers for data storage and processing. Store video footage, process data, and enable remote access.

Drones equipped with cameras and AI to Provide aerial surveillance for large campuses and perimeter areas.

Integration with Emergency Services to Facilitate communication with law enforcement and emergency services during security incidents.

Security apps for mobile devices to enable security personnel to monitor and respond to incidents on the go.

Benefits

AI-Based Object Detection and Recognition can enhance the security by detecting and recognizing potential threats or suspicious activities.
Automation of surveillance tasks, reducing the need for constant human monitoring
Clear and detailed imagery and data capture for Improved situational awareness with high-quality visuals.
Surveillance capabilities in low-light or nighttime conditions can ensure Continuous monitoring and security during all hours.
Live video feed for real-time monitoring can help in Immediate response to security incidents.
Seamless communication with central monitoring stations to ensure quick response to incidents with coordinated efforts.
Centralized control for multiple drones, optimizing surveillance operations. Immediate reporting of detected incidents.

Contact your Solution Expert

Solution Summary

Applications

Features and Functionalities

Red Light Violation Detection to Identify vehicles that run red lights at intersections. It captures images or videos of violations for evidence.
Identify vehicles parked in restricted zones or no-parking areas and enforce.
Identify vehicles traveling in the wrong direction on one-way streets or highways.
Analyze and optimize traffic flow at intersections. Adjust signal timings based on real-time traffic conditions.
Monitor speed limits in school zones. Enforce safety measures to protect students during school hours.
Identify drivers and passengers not using seatbelts.
Vehicle Over crowding and Triple ride two wheeler detection
Identify road obstructions, people on road, animals on road or stopped vehicles etc.

Speeding Detection of vehicle speeds on roads and highways with evidence images, speed, ANPR and associated metadata.
Monitor and enforce the proper use of bus lanes or high-occupancy vehicle (HOV) lanes.
Automatically recognize and capture license plate numbers. Check against databases for stolen vehicles, expired registration, or outstanding violations.
Ensure compliance with pedestrian crosswalk signals. Detect and penalize vehicles that fail to yield to pedestrians.
Identify vehicles that follow too closely (tailgating). Monitor and enforce safe following distances.
Detecting drivers using mobile phones or engaging in other distracting activities.
Driving without Helmet detection.