We offer comprehensive ODM services for integrated AIoT elevator applications, supporting clients from design to mass production in creating customized smart elevator solutions. Our services include hardware design, software development, and third-party system integration to meet diverse application requirements. With our ODM expertise, clients can launch innovative products quickly, reduce R&D costs, and enhance market competitiveness.

Capable of helping customers complete ISO-14064 greenhouse gas inventory rapidly and correctly, the platform offers boasts provision of real-time greenhouse gas emission data, production of lists and tables, and carbon emission forecast, , thereby assisting enterprises in planning carbon-abatement investments, attaining emission reduction according to timeline, and optimizing emission management flow.

C.ai Chatbot Service Platform is recommended as the best autonomous solution for enterprises to implement LLM intelligent assistants and related applications. It features easy editing with No-Code/Low-Code, easy integration with internal and external systems, and a complete service interface. With LLM application compliance and governance, enterprises can choose to integrate various suitable language models to enhance AI implementation capabilities. It supports various communication software and browsers, completing design and launch in one stop.

MyGuardian Pro (Model: XC-209) is a portable emergency help device designed for the elderly to use when going out. In addition to the SOS one-button passive calling design, it also provides active calling for help with fall detection, helping many children or individuals to take care of disabled or elderly elders. If an elderly person accidentally falls or needs special assistance, the cloud server will send an online alarm ticket to the caregiver (the caregiver must install the APP), making your family's daily life safe and secure.

Most cold chain logistics vehicles currently use engine-driven compressors to power refrigeration units. This increases engine wear and fuel consumption, especially during idling when unloading. With global warming and stricter carbon reduction policies, retrofitting fuel-based cold chain vehicles has become urgent to reduce emissions and fuel costs. Our solution provides an independent power system that allows refrigeration/freezing units to operate without engine idling. It uses solar panels for supplemental energy and high-performance, safe LiFePO₄ batteries to ensure stable power. This setup reduces fuel use and lowers carbon emissions during stops. The system also offers emergency power support and features remote monitoring for real-time management and quick troubleshooting. Additionally, it is fully compatible with electric logistics vehicles, requiring no redesign. This makes it a sustainable, green solution that meets future low-carbon logistics needs.

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.

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NCREE has developed a Hybrid earthquake early warning system (EEWS) by integrating on-site EEWS from NCREE and regional EEWS from Central Weather Administration (CWA). Within a 10 to 100-kilometer radius from the earthquake epicenter in the local region, this system can provide 3 to 15 seconds of warning time. To achieve effective alerts with the available warning time, the utilization of a Hybrid EEWS cloud platform is crucial. This platform facilitates the transmission of alerts and the affected administrative regions to various industries. Industries, in turn, leverage these alerts to develop warning systems and automated control devices tailored to meet the specific requirements of different environments. This approach aims to minimize secondary damages resulting from earthquakes, transforming EEWS beyond being notifications received Presidential Alert on mobile phones. Instead, it offers a multi-faceted alerting and disaster reduction application system tailored to different environmental settings.

TextileGPT is an AI platform specifically designed for the textile industry, combining TNet's historical expertise and professional knowledge to accelerate product launches, reduce development costs, and strengthen knowledge transfer. Built on the TNet knowledge base, it provides intelligent dialogue capabilities enriched with industry-specific knowledge to address various challenges. The platform supports processing multiple data formats, including PDF, PPT, DOC, XLS, and web content, and features a user-friendly interface for quick adoption. TextileGPT aims to tackle issues like talent gaps and difficulties in knowledge inheritance, driving innovation and efficiency to enhance competitiveness, making it a key enabler for the textile industry's future development.

This solution integrates digital supply chain streaming and AI-driven scheduling to build an efficient and transparent production system. Core technologies include AI scheduling, digital twins, smart warehousing, and energy management, ensuring real-time data flow, precise decision-making, and improved production stability. Expected outcomes include a 20% increase in production efficiency, a 20% reduction in machine idle time, a 10% improvement in order fulfillment accuracy, and 10% shorter lead times. By implementing smart warehousing, inventory stagnation is reduced, material flow is optimized, and businesses gain a competitive edge in digital transformation and sustainability.

Smart Safety Solution (During earthquake) P-WAVER works with partner to provide safety escape solution for people at home or at office through coordinated IOT device to deal with earthquake smartly in timely manner -Smart light guiding system -Smart broadcasting system -Elevator urgent stop system -Gas auto shutdown system These are already in service in some community, hospitals, arena, station, buildings.

Introducing LIVA smart charger, which complies with ISO/IEC 15118 and supports Plug-n-Charge. It simplifies the charging procedure and makes a joyful charging experience. Forget about cash or cards and charge your EV that easy!