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Intozi Tech Pvt Ltd
Unit no- 629, 644, 645 Tower B2, Spaze I-Tech Park, Sohna Road Sec 49, Gurgaon, Haryana-122018
MON-FRI 09:00 - 20:00, SAT 10:00 - 14:00
Transform your operations with Intozi’s advanced people counting system and crowd analytics using AI video analytics to gain quantified insights on crowd trends. Achieve operational intelligence through data-driven analysis of crowd patterns.
Transform your operations with Intozi’s AI video analytics platform. The advanced AI crowd analytics system provides quantified insights into crowd trends and movement patterns. Achieve operational intelligence through data-driven analysis for smarter decision-making.
Key Features
Improve customer experience and operational efficiency with Intozi video analytics applications, including
the face recognition system, gesture detection, people counting, movement analysis, and path analysis.
Get real-time crowd analytics on footfall and movement across public or private spaces. Make smarter decisions for layout planning, crowd flow, and resource allocation.
Identify peak hours and movement hotspots before they turn into bottlenecks. Improve visitor experience while ensuring comfort and safety at all times.
Understand how people navigate your space to streamline entries, exits, and service points. Deliver smoother and more engaging experiences for both staff and visitors.
Ikshana uses data to allocate staff more effectively across key areas. Boost efficiency without overstaffing or guesswork.
Designed to work alongside existing tools and infrastructure. Supports quick deployment without interrupting ongoing operations.
Spot unusual movement and overcrowding with AI-based crowd monitoring. Respond faster to keep every space safe and secure.
Face Recognition System works perfectly to identify people by capturing and storing facial data. It is a suitable solution to authenticate identities and even detect suspicious behavior in public areas. The FRS Solution is meant for face matching using an existing database and management system for access control. Additionally, it enhances security measures by providing real-time alerts for unauthorized access attempts.
Highly Accurate NIST Certified AI Model: Ensures precision and reliability in facial recognition, certified by the National Institute of Standards and Technology (NIST).
HRMS Integration: Integrates with Human Resource Management Systems for streamlined employee authentication and attendance tracking.
Distant Recognition: Recognizes faces from a distance, enhancing security in large public areas and entrances.
Access Control Integration: Works with existing access control systems to manage entry to secure areas, allowing only authorized personnel access.
Instant Alert for Listed Faces: Provides real-time alerts for recognized faces in the system, enabling swift action for unauthorized access or suspicious individuals.
Liveliness Detection: Distinguishes between real human faces and fake representations to prevent spoofing and ensure only live individuals are authenticated.
Real-Time Tracking & Alerts: AI-powered video analytics ensure accurate, instant tracking of individuals entering and exiting premises, allowing proactive management based on real-time alerts and instant notifications.
Seamless Integration & Scalability: Integrates smoothly with existing application system and scales effectively for various facility sizes, from retail stores to large events and transportation hubs.
Enhanced Customer Engagement: Provides valuable data on customer behavior and foot traffic patterns, enabling businesses to tailor their services and improve customer satisfaction.
Operational Efficiency: Helps in resource allocation and staff management by providing accurate foot traffic data, leading to improved operational efficiency and cost savings.
Data Analytics & Reporting: Offers detailed analytics and reporting capabilities to help businesses understand foot traffic trends and make data-driven decisions.
At Intozi, we offer advanced AI video analytics for effective foot traffic management. Our People Counting System and automatic Crowd Analysis provide real-time counting and insights to optimize traffic flow. Designed for businesses of all sizes, our innovative technology solutions streamline operations and deliver valuable insights.
Emotion Recognition: Detects and interprets emotions such as happiness, sadness, neutrality, and anger based on facial expressions.
Real-time Analysis: Provides instantaneous feedback on emotional states, enabling quick responses and interventions.
Customizable Alerts: Generates alerts or notifications based on detected emotions for proactive action.
Integration Capabilities: Easily integrates with existing systems and applications for enhanced functionality.
Enhanced User Interaction: Improves user experience by enabling intuitive and emotion-aware interaction.
Real-Time Detection: Monitors entry points continuously to identify tailgating and piggybacking attempts as they occur.
Automated Alerts: Provides immediate notifications to security personnel upon detecting unauthorized entry attempts.
Access Control Integration: Seamlessly integrates with existing access control systems to enhance security measures.
Behavioral Pattern Analysis: Utilizes AI to analyze and learn from entry and exit patterns, improving detection accuracy over time.
Incident Recording and Reporting: Captures and logs video evidence of incidents, facilitating review and investigation processes.
Real-Time Monitoring: Continuous surveillance and instant detection through this walking and running detection system.
Human Activity Recognition: Differentiates between walking and running using human activity recognition software to identify unusual or suspicious movement.
Customizable Alerts: Sends immediate alerts when predefined movement patterns are detected using AI motion analysis software, enabling faster response.
Seamless Integration: Easily integrates AI human movement detection with existing security and surveillance systems.
Detailed Analytics: Delivers comprehensive movement reports and actionable insights through walking detection software and running detection software, supporting better decision-making and improved safety.
Real-Time Crowd Counting: Continuously monitors and counts individuals in designated areas, providing up-to-the-minute AI crowd statistics for accurate occupancy monitoring.
Density Analysis: Analyzes crowd density and occupancy trends to identify congested areas, optimize space utilization, and support data-driven decisions.
Movement Tracking: Tracks crowd movement patterns to understand flow and identify potential bottlenecks.
Crowd Heatmaps: Uses AI-powered crowd heatmap software to generate interactive visualizations of crowd density and movement, enabling faster, data-driven decision-making.
Customizable Reports: Provides detailed reports through AI crowd analytics software with customizable parameters tailored to specific venues, events, or operational requirements.
Real-Time Counting: Provides accurate and instant crowd estimates, enabling timely interventions and management.
Density Analysis: Analyzes crowd density to identify overcrowded areas and prevent potential safety hazards.
Scalable Solution: Adaptable to various environments, from small venues to large public spaces, ensuring effective crowd control.
Integration with Security Systems: Easily integrates with existing surveillance and security infrastructure for comprehensive monitoring.
Automated Alerts: Generates alerts for crowd thresholds, helping to manage and control large gatherings efficiently.
Real-Time Anomaly Detection: Monitors and identifies unusual crowd behavior in real-time, enabling immediate intervention.
AI Crowd Behavior Analysis: Uses AI to learn normal crowd movement and behavior patterns, improving the accuracy of anomaly detection.
Automated Alerts & Crowd Risk Detection: Sends instant notifications to security teams when abnormal activity is detected, enabling early risk detection and faster response.
Crowd Behavior Analytics & Heatmaps: Provides visual heatmaps and crowd behavior analytics to highlight density and movement patterns for better situational awareness.
Historical Behavior Analysis: Uses AI behavior analysis software to analyze historical crowd data, improving future anomaly detection and response strategies.
Real-time Monitoring: Our AI video analytics provides instant insights by continuously tracking and analyzing the dwell time of individuals or objects in designated areas.
Heat Mapping: Visual representation of dwell time data through heat maps helps identify high-traffic zones and popular areas within a monitored space.
Behavioral Insights: By analyzing dwell time patterns, businesses can gain valuable insights into customer behavior, such as preferred products or services and peak visitation times.
Alerts and Notifications: Automated alerts can be configured to notify staff when dwell time exceeds a certain threshold, indicating potential issues like overcrowding or unattended suspicious activities.
Data Integration and Reporting: Seamless integration with existing data systems and comprehensive reporting capabilities allow for detailed analysis and informed decision-making based on dwell time metrics.
Unit no- 629, 644, 645 Tower B2, Spaze I-Tech Park, Sohna Road Sec 49, Gurgaon, Haryana-122018
MON-FRI 09:00 - 20:00, SAT 10:00 - 14:00
Frequently Asked Questions (FAQs)
The AI model is certified by the National Institute of Standards and Technology (NIST), ensuring high accuracy and reliability in identifying individuals. This certification demonstrates strong performance across varying lighting conditions, viewing angles, and real-world environments, supporting secure authentication and access control at scale.
Yes. The system integrates seamlessly with HRMS platforms to authenticate employees and automate attendance tracking. This removes manual record-keeping, reduces errors, and gives teams accurate, real-time workforce data through existing HRMS platforms.
The system sends real-time alerts the moment a listed face is detected, enabling immediate action for unauthorized access or suspicious individuals. Alerts can be routed to security teams and dashboards, supporting faster, coordinated response across monitored areas.
Liveliness detection distinguishes real human faces from fake representations such as photos, videos, or masks, ensuring only live individuals are authenticated. This prevents spoofing attempts and strengthens overall security, making it essential for reliable identity verification and access control in sensitive environments.
AI people counting uses video analytics to detect and track individuals as they enter or exit a space, generating accurate, real-time footfall data. It helps organizations measure occupancy, understand peak hours, and optimize staffing and space utilization without manual counting, improving both operational efficiency and visitor experience.
People and crowd analytics is an AI-powered approach that analyses video feeds to measure crowd size, density, movement, and behaviour in real time. It enables safer, more efficient management of public spaces, events, and facilities through data-driven insights, helping authorities and businesses act before crowding becomes a risk.
Ikshana is Intozi’s AI video analytics platform that powers people counting, crowd analytics, and anomaly detection using existing CCTV feeds. It runs AI models to deliver real-time insights, alerts, and reporting through a single dashboard. Its modular architecture enables organizations to scale across sites and combine crowd analytics with face recognition and safety applications in one system.