Client Results

Success Cases

Real deployment data across rental, infrastructure, and fleet finance

Case Study Metrics

Sun Ocean Machinery Co., Ltd. Airport 3RS SKYCITY Car Park I·PARK & Ma On Shan
85%Payroll verification gain
54Equipment units managed
97%AI violation accuracy
4+Major infrastructure sites

Success Cases

Actual application scenarios and solutions for clients

Sun Ocean Machinery ZJT Pro case study

Named Client · ZJT Pro

Sun Ocean Machinery Co., Ltd. × ZJT Pro

Since Jun 2025 · Metrics Aug 2025 – Apr 2026 · 54 units · 50 operators

“ZJT Pro lets us manage operator attendance and equipment maintenance across multiple major sites. Month-end reconciliation dropped from two or three days to half a day, and geofencing with watermarked photos greatly reduced proxy clock-ins.”

— Sun Ocean Machinery Co., Ltd. · Operations Team
85%Payroll verification gain
80%Month-end reporting time saved
15%Unplanned downtime cut
0.5Person-days for 50 payroll checks

Challenge: Operations span multiple major infrastructure sites with dispersed operators and equipment; Excel reconciliation and paper attendance could not support cross-project management.

Solution: Deployed ZJT Pro with 500 m GPS geofencing, watermarked clock-ins, maintenance alerts, and 15-second e-safety training signatures.

Sites in scope:

  • Hong Kong International Airport Three-Runway System (3RS)
  • SKYCITY Car Park
  • I·PARK Waste-to-Energy Facility
  • Ma On Shan Sewage Treatment Works Upgrade

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).

View ZJT Pro landing page

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.

Sun Ocean Machinery Swift Realeye AI case study

Named Client · Swift Realeye AI

Sun Ocean Machinery Sites × Swift Realeye AI

Client: Sun Ocean Machinery Co., Ltd. · Scenario: major infrastructure site safety compliance

“On major sites such as the Airport 3RS project, helmet and hazard alerts fire within seconds. Safety officers are no longer relying on patrols alone, and compliance records are far more complete.”

— Sun Ocean Machinery Co., Ltd. · Site Safety Team
97%+Violation detection accuracy
3sAvg. flame/smoke alert
40%Equipment incident risk cut
10minScaffold early warning

Challenge: Sites served by Sun Ocean—including Airport 3RS, SKYCITY Car Park, I·PARK WtE, and Ma On Shan sewage upgrade—have large work fronts; manual patrols cannot cover safety compliance around the clock.

Solution: Deployed Swift Realeye AI with 100+ video analytics algorithms for helmets, hazard zones, crane torque, and scaffold movement.

Sites covered:

  • Airport Three-Runway System (3RS)
  • SKYCITY Car Park
  • I·PARK Waste-to-Energy Facility
  • Ma On Shan Sewage Treatment Upgrade

Results: Violation detection exceeds 97% accuracy; equipment limit breaches and scaffold risks are caught early.

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.