Logistics and Warehousing Park-Industry Solutions & Case Studies-Vietadata Holding (Shenzhen) Group Co. Ltd

Core Products

Standard Algorithm 50+ Integrated Machine Algorithm Server High Performance Comprehensive Algorithm Server Robot Vision Module AI Vision+Digital Intelligence Integration Solution

Industry Solutions & Case Studies

Logistics and Warehousing Park Warehouse and Yard Energy Mines Energy Nuclear Power The Belt and Road Overseas Free Trade Zone Robot Vision Solution Drone Vision Solution Bright Kitchen and Stove

Customized Algorithm Products

Logistics and Warehousing Park

Project Highlights

95% recognition rate, 96% accuracy, false positive rate reduced to 4%
Shuangyuan District upgraded synchronously in one month with zero operational interruption
50+standard algorithm coverage, customized algorithms for precise adaptation to business needs
Deep learning closed-loop implementation for continuous optimization of systems

Customer Background

A leading global logistics company (ranked fifth in air freight globally and first in sea freight Asia) with an operational network covering over 80 countries. To break through the bottleneck of security management efficiency, we choose to build an intelligent security ecosystem from the perspective of security systems.

Pain Points and AI Solutions

Traditional Monitoring Pain Points	AI Intelligent Upgrade Solution	Actual Results
High Dependence On Manual labor: Daily analysis of over 300 hours of video recording	● Real time identification of 12 high-risk behaviors (climbing, smoke, illegal parking, etc.) ● Automatically generate event logs	Reduce manual screening time by 70% Complete single event analysis in 5 seconds
Passive Response Lag: Hidden dangers are discovered within an average of 15 minutes	● Automatically generate event logs ● Three end alarm push (middleware/WeChat/email)	Response time reduced to within 5 minutes
Strategy Rigidity: Unable to adapt to day night mode switching	● Adaptive scene algorithm (nighttime infrared enhancement/crowd density monitoring) ● Intelligent target tracking	Reduce monitoring blind spots by 40%
Lack of data Value: Video cannot convert business insights	● Real time data dashboard (vehicle recognition/alarm hotspot) ● Monthly Safety Operation Report	Equipment malfunction detection efficiency increased by 35%

Core Scheme Design

Lightweight Intelligent Upgrade

Continuous Evolution System

Data Decision-Making System

Hardware Reuse: Empowering existing 200+cameras through AI server clusters
Algorithm Matrix:
Standard Algorithm Library: 52 preset models (including climbing recognition, vehicle speeding, etc.)
Customized Development: 9 business exclusive models (forklift status monitoring/cargo detention warning)
Hierarchical Response Mechanism:
·Routine event: Automatically generate inspection work orders
·Emergency event: trigger sound and light alarm+responsible person directional notification

Model Iteration: Optimize algorithm parameters based on false positive samples every month
Effect Verification: Quarterly algorithm accuracy improvement of 2-3%

Operating Cockpit: Real time display of 12 indicators including pedestrian and vehicular traffic flow, equipment online rate, etc
Root Cause Analysis: automatic annotation of environmental features in high-frequency false alarm areas
Prediction Model: Generate risk period warnings based on historical data

Implementation Effectiveness: Improved Safety and Efficiency

During the Trial Operation Period

Effective warning of 6 types of safety hazards (including 2 fire warnings)

Practice in Chengdu Industrial Park

Residual detection reduces abnormal handling time of goods by 40%, management upgrade

Automated Reporting

Monthly safety report preparation time reduced from 8 hours to 1.5 hours

Resource Optimization

By adjusting 3 inspection routes through heat maps, labor costs have been reduced by 12%

Customer Testimony

The system has upgraded the security response from hourly level to minute level, reducing the false alarm rate by 28% within three months, laying a solid foundation for the digitalization of the park.

——Head of Customer Security Management Center

Industry Value

Creating an Intelligent Security Model:

Formulate the Implementation Guidelines for AI Monitoring in Logistics Parks

Scalability of the Plan:

Verified to adapt to 5 scenarios including warehousing and ports

Implementation Experience

Engineering Optimization Value

Through 3 rounds of camera angle/fill light optimization, the recognition accuracy has been improved by 36%

Key to Business Coupling

During the development phase, engineers will be stationed on-site to monitor and accurately capture 12 business rules

Continuous Service Mechanism

Through 3 rounds of camera angle/fill light optimization, the recognition accuracy has been improved by 36%

Trustworthy Data Indicates That All Effectiveness Data Are Based On

Customer IT system log analysis (alarm response time)

Statistics of operation and maintenance work order system (saving labor costs)

Double blind test results (recognition accuracy)

Comparison data during the three-month trial operation period (decrease in false alarm rate)

Get Your Customized Solution Now

Obtain the "Logistics Park AI Upgrade Benefit Evaluation Form"

Consulting

Apply for a 7-day algorithm testing environment to support existing camera access

Trial Experience

Professional team on-site demand research (3-5 working days)

Deep Cooperation

Contact experts and activate intelligent upgrade

Enable Intelligent Upgrade

Why Choose Us

Engineering Capability

25% Accuracy ImprovementOn site optimization of angle/light adaptation

Industry Experience

80+logistics Scenario Algorithm LibrarySupport adaptation to complex environments

Continuous Service

Provide quarterly algorithm updates
Match business development