AI-Powered Head Count System for Entry Gate Management
Secure your entry gate with AI-based head count system, PPE compliance, and area-level monitoring.
- Scalable to 10,000+ Sq. Ft. Facilities
- 24/7 Multi-Zone Coverage
- 70% Cost Savings vs. Manual Attendance Solutions
- 100% Real-Time Occupancy Awareness
- Detects Group Loitering & Overcrowding in <2 Seconds
Why AI powered Head Count System Matters?
Suppose you own a smart manufacturing unit in Australia and you have more than 1000 employees working for you in more than 2 shifts. The factory is spanning over 5,00,000 sq. ft. and works day and night for manufacturing PPE kits and covid related material. Managing this employee strength at different shift can create challenges like delays and inaccuracies because of biometric systems, bottlenecks at entry points because of large que, hygiene issues because of touch-based biometric devices, no system to detect unauthorized personnel which may lead to time consuming operation.
This is where an AI-powered Head Count System emerges as the answer to these critical challenges. This system with the help of computer vision and predictive analysis monitors employees at entry and exit gate with 99% accuracy, providing timely information about attendance, entry and exit time, authorized personnel entry, unauthorized entry alerts and much more. The system uses computer vision AI models to detect the personnel at entry gate along with edge AI and deep learning models to give you the best results for smoother entry and exit management.
Key Features of iProgrammer AI Head Count Management Software
Our precise systems is trained on the diverse datasets to work even in the case of low lighting, fast employee movement, dynamic group movement, partial face cover. Leveraging YOLOv7 and DeepSORT models, it achieves 99% real-time people detection and tracking with less than 1-second latency which is perfect for managing employee breaks, productivity, working hours, emergency evacuation and restricted area/intrusion detection.
The headcount system also integrates with helmet, glasses, mask, PPE and other security equipment detection to ensure workplace safety if required. The system automatically sends alert messages to supervisors using multi-label classification if an employee enters a certain area without proper care.
iProgrammer follows a strict privacy-by-design approach. It uses anonymized metadata tracking without storing facial identity or personal information. All data streams are AES-256 encrypted, and access control is enforced through role-based permissions and audit logs.
The system allows you to identify whether the person is entering or leaving the office using deep neural networks and vector flow analysis. This becomes a crucial factor when you need to identify the occupancy or total head count in a designated area.
Our system also runs in a low or unstable network environment where it stores data on the cloud and auto-syncs with the real-time system when the internet connection is restored. This hybrid approach prevents data loss and ensures uninterrupted analytics.
The AI-based headcount system integrates efficiently with any ERP and HRMS platform via RESTful APIs and secure webhooks. IT gives real-time data about the safety compliance, headcount, restricted area headcount to systems such as Zoho, Odoo, SAP, Oracle and more.
Manufacturing
Corporate Offices
Healthcare
Shopping Malls
Education Industry
Stadiums & Outdoor Venues
Uptime guaranteed with intelligent edge processing.
Accuracy Rate in footfall detection in varied lighting and weather conditions.
Reduction in manual surveillance costs.
Increase in shift planning efficiency.
Faster Response Time in over-crowding alerts.
Occupancy exceeds safety thresholds
Unauthorized entry is detected
Entry without PPE (optional integration)
Gate-level congestion is observed
Zone Violation Alerts
Shift Overlap Detection
We deliver an AI system which integrates directly with your existing system without any disruption.
We deliver an AI system which integrates directly with your existing system without any disruption.
No need to replace your CCTV. Our solution works effortlessly with your existing IP-based or ONVIF-compliant CCTV cameras, leveraging real-time video feeds without additional hardware investment.
You can access insights via cloud-based dashboards available on your mobile as well as desktop, so that you can access the information from anywhere and anytime for quick alerts and decision making.
The system comes with API's that seamlessly integrate with the existing access control systems, attendance system, salary management system, HRMS platforms, intrusion detection system, and ERP platforms to track employee productivity.
Why Choose iProgrammer for AI Head Count Systems?
Our systems are built to handle multi-level & angle cameras by using cutting-edge AI frameworks like TensorFlow, PyTorch and YOLOv7. iProgrammers' AI model is trained over 5 million+ real-world images and scenarios to ensure scalability.
Every model is designed as per the specific needs of the industry. It can be a dusty environment for the cement industry, low light in the mining industry, high-motion environment for malls; our system operates as per the demands of real-world industrial operations.
98.3% of counting accuracy is tested with <1-second detection latency even in high-traffic and low-light scenarios. The system also includes a helmet, vest, mask, and PPE compliance detection in parallel with headcount.
The model easily integrates with your existing CCTV, which reduces your overall new procurement expenditure. Edge AI models reduce cloud dependency and enable fast, on-site analytics.
The model is enabled with GDPR compliance, where no facial data is stored. The system also provides role-based access controls, AES-256 encryption, and secure APIs for safe data flow.
The model provides cloud-based dashboards with AI-based trend analysis, which is supported on web as well as mobile applications.
A network of private hospitals in Australia, managing over 10,000 footfalls daily, needed a visitor management software in the ICU and entry gate during peak flu season.
iProgrammer developed a system that can be used across key zones to manage overcrowding and restricted access breaches in situations such as Covid-19 and other flus.
Result:- Improved compliance with strict ward-level crowd limits enforced by auto-alerts
- Reduced patient wait times by 25% through predictive analysis
- Achieved 97.6% accuracy in real-time occupancy updates
A popular hypermarket chain in Australia faced difficulties in staff allocation and energy management during the festive season peak hours.
iProgrammer Solutions deployed an AI headcount system integrated with BMS (Building Management System) and ERP for intelligent operations.
Result:- Increased workforce efficiency by 26%
- Detected and responded to aisle congestion in under 30 seconds
- Reduced HVAC and lighting usage by 18% during low-occupancy hours
A major construction company in Australia faced an issue with tracking workers and contractor movement at entry gates during peak material movement in shift change hours. The manual process ended up in delays for the labour procurement.
iProgrammer Solutions deployed an AI Headcount system integrated with existing cameras and security detection.
Result: