Criminal and street violence cases will affect and cause panic to citizens. In order to diminish street violence cases, reducing the time to solve these cases, protecting citizens’ lives and properties, and allow citizens to live without fear, the Kaohsiung City Police Department (KCPD) built the “3D Street Violence Early Warning, AI Intelligence Collection and Integration Platform” (hereinafter called “the Platform”). The platform utilizes the Internet of Things (IoT) to combine AI image recognition and sound sensing technologies for cross-domain big data analyses. KCPD established cross-platform data interfacing and integration, mainly through “data integration” and “network analyses” to collect with the municipal government’s transportation bureaus and social bureaus; and import existing data from the KCPD data platforms. The Platform will, through web service API, (a) retrieve data built by information systems, (b) conduct big data analysis, aggregate applicable intelligence data and present it in the form of dynamic information, (c) Integrate all information and display it as maps and topologies, improve case handling efficiency. According to KCPD employees’ query, they can adjust factor weights and relationships. Analyze the results based on rational mathematical models and professional case-handling concepts, so that intelligence analysis goes beyond the limitations of platform developers and allows criminal police to maximize their capabilities.

1. Integrating data of water quality and water consumption, the online system will automatically conduct continuous data monitoring, and can be applied for both clean water and sewage water measurement. 2. Real-time monitoring: Seize real-time water information to maintain the stability of water quality and instantly react when abnormal condition is detected, dramatically increasing management efficiency. 3. Smart Dosing Scenario: Integrating automatic dosing equipments with upper and lower alarm settings to ensure dynamic stability of water quality and decrease labor cost. 4. Data Analysis: Apply schedule planning to build up the trend of historical changes and to develop the situation management model. 5. Compliance with the regulations: Complete the full-time management mode, in compliance with the regulations of the competent authority and environmental protection standards. 6. The water quality sensor (specific model) is automatically cleaned without additional consumables and can be cleaned frequently.

To meet the high-speed operational demands of modern businesses, we offer stable dedicated enterprise circuits. Enterprise customers can flexibly choose transmission bandwidth according to their actual needs, with specifications ranging from 100M to 1G, and supporting ultra-fast transmission speeds up to 10G, ensuring uninterrupted flow of business information.  

Smart Chiller control system integrated“Chiller”,“ECM Air Handling Unit”,“Direct Drive PM Cooling Tower”,“Variable Flow chilled Water Pump”and other equipment in satisfy operation and monitor power consumption in optimal power contract capacity. Different from traditional air conditioning system which would suspend operation upon occurrence of abnormality, TECO's system boasts active management "optimal energy conservation manage ment mode," capable of active alarming and adjustment, rather than response after occurrence of problem, thereby attaining the dual missions of "system energy conservation" and "automatic diagnosis."

Taichung City has deployed 1,220 air quality sensors, utilizing IoT and AI learning, along with a geographic information system to visually present real-time sensor monitoring data.By leveraging big data analysis, pollution hotspots and peak pollution periods are identified to assist environmental agencies in smart law enforcement. Additionally, cross-department collaboration is implemented for environmental governance, employing intelligent technology management for air quality control. The integration of unmanned aerial vehicles (UAVs) further enhances pollutant sampling efficiency.

-)Mainframe monitoring system, maximally supporting one million spots in real time. -)Smart loading balanbe for AOS -)Remote backup for AOS -)Adjudge amount of AOS as required, based on flexible structure. -)Central security management.

• Features: With integrated AI-based image recognition, ultra-wideband (UWB) wireless positioning systems, warehouse management systems, and cloud platform services, the solution features automatically, real-time, and intelligent benefits to assist enterprises to achieve smart logistics and digital transformation with the enhancement of management efficiency and energy sustainability. • Functions: The solution includes AI-based image storage location identification, dynamic vehicle dispatching, automatic route planning, and display of available storage space. • Benefits: Higher management efficiency: Increases the inventory management efficiency by reducing the warehouse order pick up time by 12% on average. Energy sustainability: The system is estimated to save more than 6000 kg of annual carbon emissions for a single warehouse. Environmental benefits: Reduce 12% Warehouse order pick-up time, as well as an estimated annual carbon emission reduction of 6000 kg for a single warehouse.

FET has long been investing in IoT application development and assisting Taoyuan City in becoming the first city in Taiwan to adopt a large-scale intelligent lighting system and LED street lamps. FET has also integrated 5G and AI technologies to launch the “5G Smart Pole” solution, offering a variety of smart application services and accelerating Smart City transformation. Features •Smart poles integrate digital signage, IP cameras, high-efficiency street lamps, roadside units, 5G small cells, and EV chargers. •Based on 5G Smart Pole Alliance standards.

IISI has a number of solutions for smart image processing, the main application areas are smart transportation, smart disaster prevention, security monitoring, etc. The main products include iTrafficView and iSurveillance. iTrafficView is a server-based image recognition detection system that receive real-time video streaming from on-site network cameras and instantly performs image recognition and event detection to provide monitoring services immediately. Furthermore, the system records related identification and detection data for consecutive statistical and analysis procedure. The advanced hybrid DVR and intelligent management platform offers a one-stop solution to enhance both analog, digital, and IP convergence. "iSurveillance" is an intelligent Hybrid DVR that supports analog and IP cameras. It applies the ASF compression for efficient data management, flexible and compatible with various brands of surveillance devices.

Through matchmaking of public and private forests, enterprises can acquire forest-related data through hosting mechanisms. This includes metrics such as survival rate, tree height, carbon sequestration, and corresponding SDGs (Sustainable Development Goals) indicators. Leveraging deep learning and image processing technology, CoCoTree transforms trees and forest landscapes into data, providing customers with highly accurate forest information. This includes metrics such as carbon emissions, tree growth status, and changes in the ecosystem.

Smart City Development Project Solutions 1、Noodoe Corporation：EV charging monitoring and operation cloud management platform for smart cities-Noodoe EV OS 2、Taiwan International Development Ltd.：Smart parking management platform 3、Wan Da Tong Enterprise Co., Ltd：Integrated ticketing with mobile payment service 4、Askey Computer Corp.：Indoor Positioning and AR Navigation Solution 5、Far Eas Tone Telecommunications Co., Ltd.：Parking GO To See More：http://www.smartcitytw360.com/