Wanfu Customer Traffic Public Cloud Platform Delivered to Singapore Science Park

Wanfu's public cloud platform for foot traffic was successfully delivered and deployed at Singapore Science Park. It covers precise footfall counting, intelligent analytics, scenario-based monitoring, and visualization dashboards. The deployment also validated HTTP API integration with existing multi-brand devices and established a compliance-compliant path for overseas deployment.

1Delivery Overview: Scalable Deployment of AI Footfall Analytics in Overseas Markets

Singapore Science Park is one of Southeast Asia's largest innovation and technology hubs, hosting hundreds of tech companies, R&D labs, and top-tier talent. It demands significantly higher standards for space operational efficiency, crowd flow precision, and real-time data-driven decision-making compared to typical commercial environments. The Wanfu Crowd Flow Public Cloud Platform has been successfully deployed and is now in operation at the park, marking a milestone in scaling our AI-powered crowd analytics capabilities in overseas markets.

2Why Choose Singapore Science Park: Three Selection Criteria

Expansion in overseas markets often hinges on the trust placed in benchmark clients. During selection, park operators prioritize three dimensions: device compatibility, depth of data analytics, and deployment flexibility. Integrating legacy equipment is the primary hurdle—many parks already use crowd-counting systems from multiple vendors, making full hardware replacement cost-prohibitive and operationally risky. Our platform unifies access via HTTP APIs, enabling direct integration with existing crowd devices from major brands like Hikvision, Dahua, Uniview, and Huawei without additional investment. This capability was validated during delivery: on-site device adaptation stayed within expected timelines, with no rework caused by protocol incompatibility. The depth of data analytics determines whether a platform evolves from a simple counting tool into an operational decision-making system. Scientific park management teams require more than just entry/exit counts; they need multi-dimensional metrics such as time-of-day distribution, area heatmaps, and traffic flow efficiency to inform space planning and optimize service offerings.

3Deployment of four core capabilities in the campus scenario

This delivery encompasses precise footfall counting, intelligent data analytics, scenario-based operation monitoring, and a visual data dashboard, establishing a closed loop from data collection to decision-making. Precise footfall counting provides real-time people counts at all park entrances/exits, public areas, and key buildings with minute-level granularity. It supports period-over-period comparisons and trend analysis, helping operators identify peak hours and underperforming zones. Intelligent data analytics builds on raw counts by adding derived metrics such as store entry rates, conversion rates, and dwell time. Operators can generate instant reports via natural language queries—for example, "footfall distribution across buildings last Wednesday afternoon" or "footfall trends this month versus last month"—without relying on technical staff to write query statements. Scenario-based operation monitoring is tailored to park management needs; when footfall density in any area exceeds a predefined threshold, the system automatically triggers alerts and links to broadcast announcements or diversion plans. This capability is critical during large-scale events and exhibitions, shifting response from post-event to pre-emptive intervention. The visual data dashboard presents these metrics through intuitive charts and supports multi-device access. Managers can view real-time park operations status on web portals, mobile apps, or mini-programs, with data refresh latency kept within seconds.

4Engineering Practices for Overseas Delivery: Security, Compliance, and Deployment Models

Overseas deployments differ significantly from domestic projects. Network conditions, data compliance requirements, time zone coordination, and localization support must be addressed during the solution design phase. Data transmission uses HTTPS encryption, while API key authentication secures all interfaces. To ensure privacy compliance, the platform outputs anonymized feature vectors and count results without storing identifiable facial images. This approach aligns with Singapore's Personal Data Protection Act (PDPA), establishing a strong compliance foundation for expansion into other global markets. The deployment follows a SaaS model with annual subscriptions per site, eliminating heavy upfront capital expenditure. This lowers the decision barrier for overseas clients and enables flexible resource scaling based on customer size.

5From Single-Point Delivery to Regional Deep Dive

The delivery at Singapore Science Park is the starting point, not the end. Smart park development in Southeast Asia is accelerating, with governments across the region increasingly supporting digital transformation. The equipment integration experience, multi-language interface solutions, and compliance frameworks gained from this project can be directly reused for expansion into other areas. Moving forward, we will continue to refine our smart park solution by focusing on three key areas: data model accuracy, alert response speed, and multi-language support. Our goal is to extend our overseas service capabilities from Singapore to core markets in Malaysia, Thailand, and Indonesia within 2026 years. With technology as our foundation and delivery quality as our promise, our path to global expansion is clear.