AI Solutions for Security & Safety Applications

Intrusion Detection

AI-powered intrusion detection monitors restricted or sensitive areas and generates alerts when unauthorized entry occurs. It uses intelligent video analytics to distinguish between people, vehicles, or animals, minimizing false alarms. Ideal for perimeter security, it enables real-time threat identification, quick response, and proactive prevention of potential breaches across industrial sites, commercial properties and critical infrastructures.

Virtual Line Crossing

Virtual line crossing allows users to create digital boundaries within camera views. The system triggers alerts whenever people, vehicles, or objects cross predefined lines in a specified direction. Useful for entry/exit monitoring, perimeter defense, and traffic control, it provides reliable security automation by ensuring events are captured instantly, reducing manual surveillance efforts and improving situational awareness.

Object Left & Removed

This analytic identifies unattended or removed objects within defined zones. It automatically detects suspicious packages, abandoned items, or theft incidents, alerting security teams immediately. Commonly used in airports, stations and public spaces, it enhances safety, loss prevention and counter-terrorism measures. By continuously analyzing video feeds, it helps prevent hazards and ensures timely response to potential risks.

Object Tracking

Object tracking follows people, vehicles, or items. Using advanced algorithms, it maintains continuous identification even when objects move, pause, or partially disappear. Ideal for surveillance, retail and traffic monitoring, it helps analyze behavior, detect anomalies and support investigations with accurate movement trails, ensuring efficient monitoring in complex environments with multiple moving targets.

Human/Vehicle/Animal/Object Detection

This feature differentiates between humans, vehicles, animals and generic objects in real time. By classifying detected entities, it reduces false alarms and provides contextual awareness. Useful in urban monitoring, industrial safety and wildlife protection, it enables precise event analysis and improves decision-making, ensuring that security teams can respond appropriately based on the nature of the detected object.

People Counting

AI-based people counting monitors foot traffic by detecting and tallying individuals entering or leaving predefined zones. It provides accurate real-time occupancy data, even in crowded environments. Commonly used in retail, transport hubs and event management, it supports space utilization, business intelligence and compliance with safety regulations by ensuring crowd capacity limits are effectively monitored and managed.

Crowd Density

Crowd density analytics assess the number of people within a defined area, providing real-time insights into congestion and overcapacity. By identifying high- density zones, it supports public safety, crowd management and emergency response planning. Widely applied in stadiums, events and transportation hubs, it ensures safety compliance and enhances situational awareness by monitoring human flow dynamics effectively.

Soldier / Uniformed Resource Presence Monitoring

This analytic detects and tracks the presence of soldiers in military or secured zones and uniformed resource presence in a specific zones. It ensures personnel accountability, enhances situational awareness and helps monitor critical deployments. By distinguishing soldiers / uniformed resources from civilians or other objects, it strengthens border protection, base security, mission monitoring, commercial / corporate facilities etc,. providing real-time alerts to commanders / authorities for improved operational control and safety assurance.

Facial Recognition

Facial recognition identifies and verifies individuals based on unique facial features. It matches captured faces against databases for authentication, access control, or surveillance. Widely used in airports, law enforcement and corporate security, it enables accurate identification, improves safety and reduces reliance on manual checks, ensuring efficient monitoring and streamlined identity management with advanced accuracy.

Human Emotion Detection

This technology analyzes facial expressions to detect emotions like happiness, anger, sadness, or surprise. Useful in customer experience monitoring, security, it provides insights into mood, stress, or behavioral patterns. By understanding emotional cues, organizations can personalize services, detect unusual behavior, or enhance safety protocols, leveraging AI-driven insights into human psychological states effectively.

Human Attributes Detection

AI detects human attributes such as age group, gender, clothing type, or accessories (e.g., bags, hats). Useful for law enforcement, marketing and security, it supports suspect identification, demographic analysis and situational awareness. By providing detailed profiles in real time, it enhances search accuracy, streamlines investigations and enables smarter decision-making for surveillance and operational efficiency.

Human Pose Detection

Human pose detection identifies body postures, gestures and movements by mapping skeletal points. It enables monitoring of unusual behaviors like fighting, running, or falling. Applied in sports, healthcare and workplace safety, it enhances activity recognition, ergonomics and incident detection. Real-time analysis ensures rapid response to emergencies and improves understanding of human activity patterns effectively.

License Plate Recognition

License Plate Recognition (LPR) automatically captures and identifies vehicle license plates using AI-powered OCR. It enables vehicle authentication, tolling, parking management and traffic enforcement. Widely used by law enforcement and smart cities, it improves security, reduces fraud and ensures efficient traffic flow. The system works in diverse lighting and weather conditions, ensuring accurate vehicle identification.

Vehicle Classification

This analytics categorizes vehicles into types such as cars, trucks, buses, or motorcycles. Useful in traffic management, tolling and law enforcement, it provides structured insights for transportation planning and monitoring. By accurately distinguishing vehicle classes, authorities can analyze traffic patterns, enforce regulations and optimize road infrastructure usage, ensuring safer and more efficient urban mobility.

Vehicle Counting

Vehicle counting monitors traffic by detecting and tallying vehicles passing through designated zones. It provides real-time data for traffic flow analysis, congestion monitoring and planning. Widely used in smart cities, highways and toll systems, it helps optimize road use, enforce compliance and support infrastructure development, ensuring efficient traffic management with accurate automated vehicle statistics.

Vehicle Movement Monitoring

This feature tracks vehicle movement patterns, including entry, exit, parking, or directional flow. It enhances road safety, traffic management and security by identifying unusual driving behaviors. Commonly applied in smart cities, campuses and industrial sites, it ensures operational efficiency, assists in investigations and improves situational awareness by continuously analyzing vehicle dynamics in real time.

Lane Detection

Lane detection identifies road lanes and tracks vehicle alignment with them. It helps detect lane departures, enforce rules and ensure road safety. Commonly applied in intelligent transportation systems and autonomous driving, it improves driver assistance, reduces accidents and supports traffic monitoring by providing real-time insights into lane usage, violations and roadway behavior analytics.

Wrong Way Detection

Wrong way detection identifies vehicles moving against designated traffic flow. It triggers instant alerts to prevent accidents, especially on highways, tunnels, or restricted lanes. Widely used in traffic enforcement and smart cities, it enhances road safety by providing timely interventions and automated warnings, minimizing collision risks and ensuring smoother, more secure traffic operations.

Speed Detection

AI-based speed detection monitors vehicle speeds using video feeds without additional radar. It identifies over-speeding vehicles and generates alerts for enforcement. Common in highways, urban roads and school zones, it improves traffic discipline, reduces accidents and supports automated violation systems. Real-time speed analytics strengthen road safety compliance while enabling smarter traffic management policies effectively.

Character Recognition

Optical Character Recognition (OCR) extracts alphanumeric text from images or video streams. Useful for reading signboards, license plates, or documents, it enables automation, monitoring and record-keeping. Applied in traffic enforcement, logistics and document digitization, it enhances operational efficiency by converting visual data into usable text with high accuracy, even under challenging environmental conditions.

Fire & Smoke Detection

This analytic detects visible flames or smoke patterns in real time, enabling early fire warnings. Unlike traditional sensors, it provides wider coverage and faster detection in open or large areas. Used in factories, warehouses and public spaces, it reduces damage risks, enhances safety and ensures prompt emergency response by identifying fire hazards at an early stage.

Slip & Fall Detection

Slip and fall detection monitors human movements to identify accidents in workplaces, hospitals, or public areas. It uses pose estimation and motion tracking to instantly alert responders when a fall occurs. Widely used in elderly care, occupational safety and healthcare, it improves incident response, minimizes injury risks and ensures timely medical intervention during emergencies.

PPE Detection

PPE detection ensures compliance with safety standards by identifying helmets, gloves, reflective vests and other protective gear. Applied in construction, manufacturing and industrial sites, it enhances worker safety by automatically detecting violations. Real-time alerts help supervisors enforce rules, reduce accident risks and maintain regulatory compliance, making workplaces safer and more efficient.

Mask Detection

Mask detection identifies whether individuals are wearing face masks properly. Widely used during health crises like COVID-19, it helps enforce compliance in public spaces, workplaces and transport systems. Real-time alerts ensure safety protocols are followed, reducing infection risks. The system supports large-scale monitoring with high accuracy, enabling organizations to maintain public health standards effectively.

Social Distance Monitoring

This feature measures the distance between individuals in public or workplace environments. By detecting violations of defined minimum spacing, it ensures compliance with social distancing rules. Widely used in offices, retail and healthcare, it promotes safety, reduces infection risks and supports regulatory compliance by offering real-time alerts and data-driven monitoring of human interactions.

Loitering Detection

Loitering detection identifies individuals lingering in restricted or sensitive areas beyond a set time threshold. It helps prevent vandalism, theft, or suspicious behavior. Common in banks, ATMs and transport hubs, it improves situational awareness and security response. Real-time alerts enable proactive intervention, ensuring safe, secure and efficient monitoring of high-risk public and private zones.

Tampering Detection

Tampering detection monitors surveillance cameras for covering, defocusing, or physical interference attempts. It instantly alerts operators if cameras are blocked or disabled. Essential for reliable security systems, it prevents sabotage, ensures continuous monitoring and strengthens trust in surveillance infrastructure. Widely used in critical facilities, it guarantees uninterrupted video analytics and quick corrective action when required.

Heatmap Analysis

Heatmap analysis visualizes human or vehicle activity patterns within monitored zones. By tracking movement intensity, it provides insights into popular areas, congestion points, or idle spaces. Useful in retail, transport and urban planning, it supports layout optimization, marketing and safety management. Real-time heatmaps enable data-driven decisions by translating movement behavior into actionable spatial intelligence.

Queue Management

Queue management analytics monitor waiting lines to measure length, time and service efficiency. Applied in retail, banks, airports and healthcare, it helps optimize customer flow and reduce waiting times. Real-time data allows staff deployment, service adjustments and improved customer experience. It enhances operational efficiency by ensuring fair distribution of resources and streamlined crowd handling.

Seat Belt Monitoring

Seat belt monitoring detects whether vehicle occupants are wearing seat belts properly. Used in traffic enforcement and fleet safety, it improves road discipline and passenger protection. Real-time alerts and violation records help authorities enforce laws and reduce accident fatalities. The system enhances compliance, road safety and public awareness about seat belt importance.

Triple Riding

This analytic detects more than two riders on a motorcycle, a violation in many regions. Widely used by traffic authorities, it improves enforcement, reduces accident risks and strengthens road safety compliance. Automated detection ensures continuous monitoring of urban roads, enabling efficient violation recording and proactive accident prevention through AI-based traffic management systems.

Helmet Detection

Helmet detection identifies whether motorcycle riders and passengers are wearing helmets. It improves compliance with road safety rules and reduces head injury risks. Commonly used in smart traffic systems, it enables automated violation alerts and enforcement. The system strengthens public safety campaigns, reduces fatalities and ensures stricter adherence to motorcycle safety regulations efficiently.

Red Light Violation Detection

This feature monitors and detects vehicles violating by running during red lights. Automated alerts and violation capture improve traffic discipline and reduce accidents at intersections. Widely used in smart cities, it supports law enforcement, improves road safety and ensures compliance with traffic rules. Real-time monitoring enhances urban traffic flow and minimizes risky driver behavior.

Vehicle Make & Colour

AI analytics identify the make and color of vehicles in real time. Useful in traffic enforcement, tolling and crime investigations, it improves vehicle search accuracy and tracking efficiency. The system supports law enforcement, stolen vehicle recovery and security monitoring by providing detailed descriptors, enabling smarter investigations and quicker response to incidents.

Animal Classification

Animal classification identifies and categorizes different animal species captured in video feeds. Useful in wildlife monitoring, smart farming and traffic safety, it helps track movement patterns and prevent accidents. By distinguishing species, it supports ecological research, conservation and rural safety initiatives. Real-time analytics enhance understanding of animal behavior and reduce risks in shared environments.