Success Cases

Actual application scenarios and solutions for clients

ZJT Pro case study

Smart Machinery Management Platform Helps Construction Machinery Rental Enterprises Digital Transformation

We provided the Smart Machinery Management Platform solution for a leading construction machinery rental company in Hong Kong, achieving comprehensive digital management of automated attendance, machinery maintenance, and payroll settlement.

Through the linkage of GPS geofencing with actual working hours data, the system accurately triggers preventive maintenance reminders, successfully reducing administrative verification costs by 80% and shortening machinery breakdown downtime by 15%.

ZJT Pro is on the Hong Kong CITF pre-approved list; eligible purchases may qualify for up to 70% government funding (subject to programme terms).

The mandatory electronic safety training module helps enhance construction safety and management efficiency, significantly improving the company's overall operational efficiency and substantially increasing customer satisfaction.

You Gong Kai App case study

You Gong Kai App Reshapes the Recruitment Ecosystem of the Construction Machinery Industry

You Gong Kai App successfully established a professional recruitment platform for Hong Kong's construction machinery industry, solving the problem of information asymmetry in traditional recruitment.

The platform has registered over 500 employers and over 3,000 active operators, with average recruitment matching time reduced from the traditional 15 days to 3 days, and recruitment success rate increased by 60%.

Through technical means to optimize information flow, the overall recruitment efficiency of the industry has been significantly improved, providing strong support for the digital transformation of the construction machinery rental industry.

Smart Manager App case study

Smart Manager App Helps Engineering Equipment Rental Enterprises Achieve Comprehensive Digital Transformation

Smart Manager App system has successfully provided digital transformation solutions for multiple engineering equipment rental enterprises.

Through the dual role management mechanism, enterprises have achieved clear division of labor between employee and audit management, with management efficiency increased by 50%.

The equipment GPS positioning monitoring function helps enterprises track equipment location and status in real-time, with equipment utilization rate increased by 35% and loss rate reduced by 80%.

The full-process project management function covers customers, contracts and other aspects, with project management efficiency increased by 45% and contract execution accuracy reaching 98%.

The multi-dimensional report statistics function provides data support for enterprise decision-making, with financial management efficiency increased by 40%. The full lifecycle management function for vehicle accessories effectively reduces accessory loss rate by 30% and operating costs by 25%.

The system comprehensively improves enterprise management efficiency and competitiveness, setting a benchmark for industry digital transformation.

Swift Realeye AI case study

Swift Realeye AI Intelligent Risk Recognition and Alarm System Boosts Safety Compliance on Major Sites

On a major infrastructure site, the Swift Realeye AI Intelligent Risk Recognition and Alarm System used 100+ video analytics algorithms and megapixel cameras to monitor helmet-wearing and fighting behaviors with over 97% accuracy, triggering flame/smoking alerts within ~3s.

Real-time tower crane/hoist monitoring of load, torque and wind auto-alerted on limits, cutting equipment incident risk by 40%.

Scaffold tilt/displacement sensing delivered ~10-minute early warnings for potential collapses, and deep excavation monitoring prevented wall displacement overruns.

Pilot metal-surface defect detection raised QA efficiency by 35%, providing reliable support for multi-scenario safety and quality control.

Vehicle monitoring case study

Machinery Vehicle Monitoring System Helps Bank Loan Vehicle Risk Control

Developed and deployed a Machinery Vehicle Monitoring System for a major bank to achieve comprehensive real-time monitoring and management of loan vehicles. The system includes backend API services, Web management backend and mobile applications, built with modern technology stack such as Vue 3, Element Plus, and AMap JS API.

Vehicle registration management achieves 99.5% accuracy in device IMEI uniqueness verification and vehicle status management.

Real-time location monitoring supports single vehicle and batch queries, with location data update latency below 3 seconds, helping banks track vehicle dynamics in real-time.

Electronic fence management supports three fence types (circular, polygon, rectangle), with automatic fence violation detection accuracy exceeding 98%, effectively preventing abnormal vehicle movement.

The alarm management system achieves automatic triggering of multiple alarm types (fence violation, speeding, low battery, offline), with alarm response time shortened to within 5 seconds, and unprocessed alarm query function improving risk handling efficiency by 40%.

Historical track playback supports time-range queries, with driving distance calculation accuracy reaching 95%, providing data support for risk assessment.

Statistical analysis provides multi-dimensional data analysis including system overview, alarm statistics, and vehicle statistics, helping bank decision-makers quickly understand business conditions, with risk control efficiency improved by 50%.

The system comprehensively enhances banks' monitoring capabilities for loan vehicles, effectively reduces asset risks, and provides reliable technical support for financial institutions' vehicle financing business.