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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
Protect your people, assets, and facilities with Intozi’s AI-powered safety and security analytics. Leverage real-time video intelligence to detect threats, prevent incidents, and ensure compliance across industrial and commercial environments.
Smart city surveillance enhanced with AI video analytics, ensuring efficient monitoring and proactive management
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Key Features
Intozi’s AI surveillance solution uses video analytics to enhance safety and security by continuously monitoring video feeds to detect threats, recognize faces, analyze behavior, identify objects, and manage crowd density. It delivers real-time alerts for suspicious activities, integrates with existing security systems, and enables quick response to potential hazards.
Move from reactive to proactive security. Detect and respond to incidents before they escalate, protecting people, assets, and critical infrastructure around the clock.
Intozi’s AI-driven analytics distinguish between genuine threats and harmless activity, dramatically reducing false positives and alert fatigue for security teams.
Automatically monitor and report on safety protocols like PPE usage and zone access, helping organizations stay audit-ready and compliant with safety regulations.
Automated alerts are instantly dispatched to the right personnel, enabling faster response times and reducing the window of risk during security events.
Seamlessly integrates with your existing IP/CCTV infrastructure and security management platforms. Deploy without disruption to ongoing operations.
Monitor multiple sites and camera feeds from a single, centralized dashboard. Scale your security coverage effortlessly as your facilities grow, without compromising performance.
Intozi’s intrusion and trespassing detection system leverages advanced AI video analytics to monitor restricted and sensitive areas in real time. By continuously analyzing video feeds, the system instantly identifies unauthorized individuals who enter protected zones and triggers immediate alerts to security personnel. This solution is essential for protecting critical infrastructure, industrial sites, data centers, and private facilities from unauthorized access.
Continuously monitors defined restricted zones and instantly detects unauthorized entry, triggering real-time alerts.
Sends instant notifications to security teams via mobile, email, or integrated security platforms upon detecting a breach.
Define custom virtual zones and boundaries within any camera view; no physical barriers required.
Monitors multiple entry points and zones simultaneously across an entire facility from a single dashboard.
Automatically captures and stores video evidence of intrusion events for investigation, audit trails, and compliance reporting.
Works alongside existing access control systems to cross-verify authorized vs. unauthorized entry attempts.
Intozi’s Fence Jumping Detection system uses AI video analytics to monitor perimeter fencing and boundary structures in real time. The system accurately identifies individuals attempting to climb, scale, or jump over fences and barriers, instantly alerting security personnel to prevent unauthorized access. This solution is critical for securing high-risk environments such as airports, industrial plants, military bases, and warehouses.
Detects any attempt to climb, scale, or jump over fences and triggers real-time alerts before a breach is completed.
Operates around the clock, including low-light and nighttime conditions with IR-compatible support.
Notifies security teams in real time with precise location data of the breach attempt for rapid intervention.
Automates perimeter monitoring to reduce operational costs and eliminate human error from traditional patrolling.
Define specific high-risk segments of the perimeter for heightened monitoring and alert priority.
Captures and stores video clips of detected fence breach attempts for legal and compliance purposes.
Intozi’s Loitering Detection system employs AI video analytics to identify individuals who remain in a specific area beyond a defined time threshold. Whether it’s an ATM center, building entrance, parking lot, or restricted corridor, the system proactively flags suspicious lingering behavior before it escalates into a security threat. This enables organizations to respond swiftly and deter criminal or unauthorized activity.
Automatically flags individuals who remain in a defined zone beyond a configurable time limit.
Sends real-time alerts to security staff to investigate and act on suspicious loitering behavior.
Set up multiple monitored zones with different dwell-time thresholds based on the area’s security requirements.
AI analyzes movement patterns to distinguish between genuine loitering and normal waiting behavior, reducing false alarms.
Deploys on existing camera networks with no additional hardware required.
Logs time-stamped records of loitering events with video evidence for security audits and incident reporting.
Intozi’s Forklift Speed Detection system utilizes AI video analytics to monitor the movement of forklifts and other industrial vehicles within warehouses, logistics centers, and manufacturing facilities. The system accurately measures vehicle speed in real time and immediately alerts supervisors when speed limits are exceeded, preventing accidents, protecting workers on foot, and ensuring compliance with workplace safety regulations.
Continuously tracks forklift and vehicle movement speed against predefined safety thresholds across all monitored zones.
Triggers immediate notifications to floor supervisors when a vehicle exceeds the permitted speed limit.
Configure different speed limits for different areas such as loading docks, pedestrian crossings, and narrow aisles
Reduces the risk of forklift-related accidents, protecting both equipment operators and workers on foot.
Generates detailed logs and reports on speed violations to support regulatory compliance and safety audits.
Intozi’s PPE (Personal Protective Equipment) detection system uses AI video analytics to monitor worker compliance with mandatory safety gear in industrial, construction, and hazardous environments. The system automatically detects whether individuals are wearing required PPE, including helmets, safety vests, gloves, goggles, and masks, and immediately alerts supervisors when violations are identified. This ensures a safer workplace and reduces the risk of regulatory penalties.
Simultaneously detects compliance for multiple types of PPE helmets, vests, gloves, goggles, masks, and more within a single camera frame.
Automatically notifies safety supervisors when a worker is detected without required protective equipment.
Define zone-specific PPE requirements and different rules for different areas within the same facility.
Operates 24/7, providing non-stop oversight even in large facilities with hundreds of workers.
Generates compliance reports with timestamps and evidence for use in safety audits and regulatory submissions.
Proactively prevents PPE-related injuries, significantly reducing liability and improving overall workplace safety culture.
Intozi’s Unattended Object Detection system leverages AI video analytics to identify bags, packages, or objects that have been left unattended in public or restricted spaces. By monitoring defined areas in real time, the system flags suspicious items that have been abandoned beyond a set time threshold and immediately alerts security personnel. This is critical for protecting high-footfall environments such as airports, train stations, shopping centers, and government buildings.
Continuously monitors defined areas and detects objects left unattended beyond a configurable time threshold.
Sends immediate notifications with camera details and a snapshot of the unattended object to security teams.
AI tracks when an individual separates from an object and begins timing from that moment to determine abandonment.
Designed for complex, busy environments like transit hubs and public venues where manual monitoring is impractical.
Set custom time limits and sensitivity parameters based on the specific security requirements of each area.
Intozi’s Fire & Smoke Detection system employs AI video analytics to identify the visual signs of fire and smoke from existing CCTV cameras, providing a faster and wider-coverage alternative to traditional smoke detectors. By analyzing real-time video feeds, the system detects early-stage fire and smoke events and triggers immediate alerts, enabling rapid evacuation and emergency response before situations escalate into catastrophic incidents.
Identifies fire and smoke at the earliest visible stage, often before traditional heat or smoke sensors are triggered, allowing maximum response time.
Monitors all covered areas around the clock, including large open spaces where traditional detectors have limited reach.
Sends immediate alerts to security control rooms, facility managers, and emergency services via integrated notification channels.
Uses existing camera infrastructure to cover large facilities, warehouses, manufacturing floors, and data centers.
Vision AI distinguishes between genuine fire/smoke and visual noise like steam, dust, or reflections, significantly reducing false alarm rates.
Automatically records video evidence of fire and smoke events for insurance claims, safety investigations, and regulatory compliance.
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)
Intozi’s AI models are trained on large, diverse datasets and use behavioral pattern analysis to distinguish between human movement and non-threat events such as animals, shadows, or environmental changes, ensuring high accuracy and minimal false alarms.
Yes. The system can detect compliance for multiple PPE types, including helmets, safety vests, gloves, goggles, and masks simultaneously within a single camera frame, providing comprehensive compliance monitoring in one view.
Intozi’s Fire & Smoke Detection is designed to complement existing fire alarm systems by providing earlier visual detection across wide areas, particularly in large open spaces where sensor-based systems have limited coverage. It is not a replacement for certified fire alarm infrastructure.
Alerts are dispatched within seconds of a fall or collapse being detected, enabling emergency responders or supervisors to act immediately and minimize the time before assistance reaches the affected individual.
