An Ninh Số successfully deploys AI vehicle control solution: LPR + automatic barrier

An Ninh Số, a member brand of Việt Đức Trí Group, has just completed the deployment of an AI-integrated automatic vehicle control solution at a large-scale shopping center in Ho Chi Minh City. The system includes high-speed license plate recognition cameras (LPR), automatic barriers, and a smart parking management platform — helping the investor thoroughly solve problems of congestion, revenue loss, and staffing.

Customer: Shopping center in Ho Chi Minh City | Industry: Commercial real estate — parking operations | Scale: 800 parking spaces, traffic volume of 2,500-3,500 vehicles/day | Location: District 7, Ho Chi Minh City

Customer Issues: Loss of Control and Revenue Leakage

1. Peak hour congestion: Average vehicle passage time through the barrier is 45-60 seconds per vehicle due to staff having to manually record and reconcile tickets. During the 5 PM - 7 PM window, queues of 20-30 vehicles form, leading to continuous customer complaints.
2. Ticket and revenue loss: According to internal statistics, approximately 8-12% of vehicle trips are not charged on time due to staff forgetting to record, lost tickets, or incorrect shift reconciliation.
3. 24/7 staffing: The parking lot operates in 3 shifts, with 4-5 employees per shift. Total monthly staffing costs are approximately 85 million VND, excluding insurance and training.
4. Lack of management data: No accurate data on vehicles/day, peak hours, or return rates. All operational decisions are based on intuition.

An Ninh Số Solution Deployment: 5 Steps to Comprehensive Automation

An Ninh Số designed a solution integrating high-speed LPR cameras (Hikvision IDS series), 3m automatic barriers (ZKTeco), and parking management software developed by the Việt Đức Trí Group team. The deployment process consists of 5 steps, from on-site survey to trial operation.

1. Survey and Design: Measure actual traffic flow for 7 days, determine 2 entry lanes and 2 exit lanes, position LPR cameras 8m from the barrier to read license plates at speeds of 0-30 km/h.
2. Hardware Installation: 4 high-speed LPR cameras (99.2% accuracy in low-light conditions), 4 automatic barriers with an open/close time of 1.2 seconds, 4 sets of supplementary LED lighting.
3. Software Integration: The Parking Management System (PMS) connects cameras, barriers, and payment gateways. Automatically records license plates, calculates hourly fees, and issues electronic invoices.
4. Staff Training: 2 training sessions for 15 parking lot attendants, focusing on handling exceptions (blurred plates, vehicles without plates, connection loss).
5. 30-Day Trial Operation: Run in parallel with the old process, cross-referencing data. After the first 2 weeks, the correct recognition rate reached 98.5%; after 30 days, it reached 99.1%.

Achieved Results: Significant Improvement in Data After 3 Months

• Vehicle passage time through barrier: Reduced from 45-60 seconds to 8-12 seconds (a 75-82% decrease).
• Personnel costs: Reduced by 40% — from 85 million VND/month down to 51 million VND/month (eliminated 2 shifts, only 1 remote monitoring staff needed).
• Parking lot revenue: Increased by 25% due to eliminating ticket leakage and optimizing time-based pricing (PMS data shows 60% of peak-hour customers are willing to pay 30% higher fees if they don’t have to wait).
• Recognition accuracy: 99.1% after 3 months of operation, with only 0.9% exceptions requiring manual intervention (mainly due to dirty or faded license plates).

“Before, we lost about 40-50 million VND each month due to ticket leakage and personnel costs. An Ninh Số’s system not only completely solved that problem but also gave me a real-time management dashboard. Now I know exactly what percentage of the parking lot is full, which hours are the busiest, and which customers are VIPs returning frequently.”

— Mr. Trần Minh Hoàng, Operations Director of the Shopping Mall

Lessons from the project and application for other businesses

An Ninh Số’s first AI vehicle control project brings 3 practical lessons: (1) Operational data is an asset — PMS provides insights into customer behavior, helping optimize pricing and promotions; (2) Staff training is a key factor for high recognition rates; (3) It is advisable to run in parallel for at least 30 days to calibrate LPR cameras to suit actual lighting conditions.

For businesses operating parking lots with 200-1500 spaces, An Ninh Số’s solution can be flexibly customized. Refer to the article Real-time F&B customer behavior analysis: Optimize menu & revenue to understand how real-time data improves operations. Integrating the vehicle control system with ERP integrated with POS: Comprehensive digitalization solution for Vietnamese SMEs 2026 is also a direction of interest to many investors.

Frequently Asked Questions

Below are common questions from businesses when researching An Ninh Số’s AI vehicle control solution.

Does the LPR camera operate accurately in rainy or dark conditions?

The LPR camera used in this project integrates infrared lights and AI algorithms for image processing in low-light conditions. The correct recognition rate reaches 98.5-99.2% even in light rain or at night. In cases where the license plate is too dirty or obstructed, the system automatically sends an alert to the monitoring staff for manual processing via the live camera feed.

What is the investment cost for the AI vehicle control solution?

The cost depends on the number of lanes, type of barrier, and integration requirements. For an 800-space parking lot like the case study, the total investment for hardware + software + installation ranges from 350-500 million VND. The estimated return on investment (ROI) period is 8-14 months thanks to labor savings and increased revenue. An Ninh Số provides a free 12-month maintenance package and 24/7 remote technical support.

Can the system integrate with the current building management software?

Yes. An Ninh Số’s PMS supports an open API, easily connecting with building management systems (BMS), ERP software, or POS. In this project, we successfully integrated with the shopping mall’s loyalty management system, allowing VIP customers to be automatically recognized and prioritized through the barrier faster.

How long does it take to deploy an AI vehicle control project?

On average, 4-6 weeks for a parking lot with 500-1000 spaces, including survey (1 week), hardware installation (2 weeks), software integration (1 week), and trial operation (2-4 weeks). This project at the shopping mall was completed in 5 weeks, 20% faster than the original plan thanks to the technical team being available in Ho Chi Minh City.

Are you facing similar issues with the parking lot at your shopping mall, apartment complex, or office building? Contact An Ninh Số immediately via hotline 0935 295 337 or email [email protected] for consultation on AI vehicle control solutions — LPR + automatic barrier tailored to your scale and budget.