Intozi uses AI-powered video analytics to detect tailgating and piggybacking at secure entry points in real time, helping prevent unauthorized access in secure facilities.
Key Features
Detect tailgating at secure entry points instantly with AI tailgating detection software that flags unauthorized entry in real time.
Identify piggybacking, where an unauthorized person follows an authorized individual into a secure area, using AI piggybacking detection software for stronger access control.
Trigger instant alerts the moment unauthorized entry is attempted using unauthorized access detection software, enabling faster security response.
Integrate with door controllers and access systems using AI access control software to enforce one-person-per-entry policies.
Strengthen secure entry points with AI entry security software that continuously monitors every access event.
Deploy on existing cameras at doors, turnstiles, and mantraps, avoiding costly hardware changes.
Advanced Tailgating Detection With AI Video Analytics
Intelligent Access Security
Gain complete visibility into every access event with continuous monitoring. The system monitors secure entry points in real time, detecting tailgating, piggybacking, and unauthorized entry attempts before security is compromised.
Designed for real-world conditions, this tailgating detection system performs accurately across busy doors, varying lighting, and high-traffic entrances. Powered by deep learning, it delivers consistent, dependable detection for reliable access security.
Enforce strict one-person-per-entry policies at mantraps, turnstiles, and secure doors, reducing the risk of unauthorized access to restricted areas.
Intozi’s tailgating detection software combines computer vision and edge AI to secure entry points at scale. The platform scales across multiple sites and supports unified video analytics for modern access security solutions.
Turn entry data into actionable insights with AI access control analytics that reveal repeated tailgating attempts, high-risk entry points, and access patterns.
Capture video evidence of every incident and send real-time alerts to security teams, enabling faster response and investigation.
AI Tailgating Detection- How Does It Work?
Capture live video from cameras at secure entry points
Detect and track each person approaching the entry point
Verify entry events against authorized access credentials
Identify tailgating and piggybacking attempts
Trigger real-time alerts and record video evidence
Share incidents with access control systems and security teams
Where AI Tailgating Detection Adds Value
Secure server halls with one-person-per-entry enforcement.
Prevent unauthorized entry into restricted offices, floors and rooms.
Protect vaults and other secure areas from unauthorized access.
Strengthen access control at high-security checkpoints and restricted zones.
Secure restricted areas and staff-only access points.
Control entry to hazardous areas and high-value production zones.
Restrict access to sensitive medical and research areas.
Protect utilities, control rooms, and other critical facilities from unauthorized entry.
Key Benefits of AI Tailgating Detection
Help prevent unauthorized entry at every secure entry point.
Notify security teams instantly when tailgating or piggybacking is detected.
Eliminate security gaps that badges and locks alone cannot prevent.
Capture video evidence of every incident to support investigations.
Integrate with existing access control systems and CCTV infrastructure.
Identify high-risk entry points using access analytics.
Frequently Asked Questions (FAQs)
Tailgating in security occurs when an unauthorized person follows an authorized individual through a secure entry point without presenting their own credentials. Often associated with piggybacking, it is a common physical security gap. AI tailgating detection uses video analytics to identify these incidents in real time and alert security teams before a breach occurs.
AI tailgating detection works by analyzing live video from secure entry points. The software detects and tracks each person approaching an entry point, verifies entry events against authorized access, and flags cases where more than one person enters using a single authorization. It then triggers real-time alerts and logs video evidence for security teams.
Both involve unauthorized entry behind an authorized person. Tailgating usually means the unauthorized person slips in without the authorized individual’s knowledge, while piggybacking implies the authorized person knowingly allows them in. AI detection identifies both by analyzing how many people pass through a secure entry point for each authorized access event.
Yes. Intozi’s tailgating detection software integrates with existing CCTV cameras, NVRs, VMS platforms, and access control systems. AI models run on current video feeds, making deployment faster, more cost-effective, and easy to scale across multiple entry points and sites.
Ikshana is Intozi’s AI video analytics platform that powers tailgating and piggybacking detection alongside other security and analytics modules. It runs AI models on existing CCTV feeds to detect unauthorized entry, generate alerts, and record video evidence through a single dashboard. The platform is modular, allowing organizations to scale access security across multiple sites and combine it with face recognition, people counting, and other safety modules in one system.
