In the evolving architecture of smart cities, AI-powered smart parking systems have transformed from standalone parking management tools into critical nodes within intelligent urban operations. By integrating AIoT sensing, image recognition, and cloud platforms, the system enables real-time parking occupancy monitoring, license plate recognition, and traffic flow prediction, enhancing traffic efficiency and optimizing road resource allocation. It connects people, vehicles, facilities, and payment processes into a unified ecosystem, streamlining circulation and improving user experience. By incorporating EV charging infrastructure, the platform supports green energy dispatch and low-carbon transformation. Acting as a data-driven hub, it interfaces with traffic signal systems and municipal platforms, forming a foundational infrastructure for cross-domain smart governance.

Breaking Traditional Boundaries: Building Urban Traffic Neural Networks Taiwan International's flagship Cloud Governance Platform completely revolutionizes conventional parking management models. The platform successfully integrates diverse smart devices including In-Ground Magnetic Sensors, Smart Parking Posts, and Overhead Camera Systems through a unified API management architecture, achieving seamless cross-brand and cross-regional data interoperability that enables cities to truly "think." "Every device serves as a crucial node in the city's traffic neural network," emphasized Taiwan International. Smart parking represents not merely a technological upgrade, but a fundamental transformation in urban governance models. Through the cloud platform's big data analytics and AI deep learning capabilities, city managers can transition from reactive responses to proactive predictions, achieving genuine intelligent decision-making.

The Track Safety Management System is primarily aimed at addressing safety concerns along the track. It provides real-time monitoring, statistics, and detection-triggered alerts for trackside environments including stations, level crossings, along the track, and slope areas. The goal of this management system is to establish early warning alerts and prevent accidents from causing damage. Through the intelligent AIOT recognition monitoring system, it detects and analyzes station pedestrian traffic, tracks pedestrians at level crossings, identifies passing vehicles and traffic flow, detects foreign objects at level crossings and activates alarms, monitors personnel lingering and debris along the track, conducts rockfall monitoring on slopes with a rain gauge, monitors the environmental conditions in equipment boxes, and oversees the operation status of level crossing equipment. The monitoring data and image information are transmitted to the management system platform for integrated management via fiber-optic networks, NBIOT, or mobile communication. Additionally, it provides central management personnel with real-time interpretation and remote control in case of anomalies.

This solution provides customized AI model development and system integration services for governments and enterprises with existing systems and data. SynaiQ delivers end-to-end support, including consulting, LLM design, deployment, and long-term maintenance. The modular and scalable architecture reduces barriers to AI adoption while enabling organizations to build sustainable, flexible, and future-ready intelligent systems.

Feature •Automatic Gain Control (AGC). •Backlight Compensation. •Automatic White Balance. •Wide Dynamic Range (WDR) function with 120dB at 30 FPS. •Night noise suppression function. •Nighttime shooting with automatic aperture adjustment. •Stable image quality during low-light shooting at night under stable external light conditions, ensuring no flicker or color rolling, and clear nighttime images. Specifications •Uses a CMOS 1/3” Image Sensor. •MAX Resolutions：2MP (1920×1080 pixels)，D1 (640x480 pixels) •Maximum Frame Rate：30 FPS @1920×1080，30 FPS @640x480 •Focal Length：2MP lens ： 2.8-12mm±5%，D1 lens ： Fixed •Minimum Illumination：Color： Below 0.06 Lux，Black：Below 0.02 Lux.

TCPASS app provides a comprehensive integration of municipal services, including mobile payments, "Maternity Taxi" bookings, vaccine appointments, online applications, event calendars, and various welfare updates. Members can use their Digital Citizen Card to access exclusive discounts at over 1,500 partner stores across Taichung and Nantou, including famous chain brands, local delicacies, and Top 10 Souvenir shops. TCPASS has become a highly acclaimed tool, making diverse digital services effortlessly accessible to all citizens.

This project is deployed in a large-scale fish farming area in southern Taiwan, where ponds are widely distributed and geographically fragmented, creating challenges for long-distance network connectivity and real-time surveillance. The solution utilizes fiber optic links as the backbone to ensure stable long-range transmission across the site. EAP610-Outdoor wireless access points are deployed to extend network coverage through a mesh architecture, effectively reducing the need for repetitive cabling. For surveillance, the system integrates an NVR4032H with InSight S345 and InSight S345ZI bullet cameras, delivering stable and reliable video transmission. Combined with PoE switches, this solution establishes a flexible, efficient, and reliable network and intelligent surveillance infrastructure tailored for aquaculture management.

Across urban and industrial environments, public facilities, critical assets, and infrastructure systems are often highly complex and geographically dispersed. Even minor abnormalities, if not identified and addressed in time, can lead to safety risks and operational disruptions. The Smart Mobile Inspection System is designed to address these challenges, enabling governments and enterprises to establish forward-looking digital inspection and maintenance management capabilities. The system integrates mobile devices, sensor data, and visual information, leveraging real-time AI analysis and anomaly detection to transform potential risks into predictable, traceable, and actionable management tasks. From anomaly alerts and intelligent task assignment to on-site reporting and final verification, the platform seamlessly connects every stage of the inspection workflow, delivering a fully digital, end-to-end inspection and maintenance management solution.

-) Prognostics and Health Management -) AIR & Expert Assist -) AIR Design Builder -) AIR Quality Check -) AIR APPs in Cloud

Traffic approach warning system is the combination of smart detectors and LED warning signs. The intersection is divided into detection lanes and warning lanes. Smart detectors are installed on the detection lanes. When a vehicle enters the detection area, the signal is transmitted to activate the LED signs on the warning lane to warn drivers to slow down in advance.

Taiwan AI Cloud AI Compute Foundry solution provides one-stop AI infrastructure services. Assist governments, enterprises, and the global GPU market in driving the development of sovereign AI. Empower enterprises to build customized AI compute centers with their own AI infrastructure, data governance, and model operation environments. We provide complete AIHPC deployment, integration, and maintenance services, supporting private, public, and hybrid cloud architectures.

SONOBA COMET is a paperless conference system using tablet computers. Simple, no complicated operation or preparation required. Convenient, one-person operation, all participants can be expressed simultaneously. Information security, delete the information after the meeting. SONOBA COMET” is a product that has been positively received and implemented by a wide range of customers in different industries and business categories, such as banks and brokerages, IT companies and music-related companies, and public institutions like universities and hospitals. As a communication tool, it is performing well not only in meetings but also in various other scenes such as presentations for operating activities, training and seminars, and telemedicine.