Hybrid work and temporary employment often lead to chaotic and decentralized attendance management. AIRA's Facial Recognition Solution simplifies personnel management. Without external hosting equipment, the airaTablet Plus integrates access control, attendance reports, and video streaming into a single device. It features the facial recognition system, airaFace, ensuring precise identification of faces within 1 second. Users can customize clock-in periods and export automatic attendance reports. The built-in multi-mode dashboard caters to various scenarios, such as attendance, occupancy and welcom dashboard. Moreover, the system seamlessly integrates with the central management system, airaManager, which can cnetralize attendance data from each office. The encrypted transmission enhances security, ensuring a comprehensive and secure solution for pesonnel management

EdgeLink-X is an AI-driven heterogeneous edge-network platform built to provide resilient, low-latency connectivity for intelligent transportation and railway environments. The system forms a multi-layer architecture that unifies field communications, sensing, video capture, and edge analytics into a reliable and adaptive communication framework. At the field level, IP110H and IP503H Lite IP radios deliver instant voice communication and group coordination for frontline personnel. Sensors and cameras are connected through the AG260 AIoT Gateway, while the AS710 Wi-Fi 7 indoor access point provides high-quality Wi-Fi coverage in stations, platforms, and passenger areas to enhance traveler connectivity. Long-range, time-synchronized backhaul is supported by the SP250 Series, ensuring stable, high-throughput wireless links across trackside and outdoor environments. At the core, the zMEC edge-computing platform performs real-time AI video analytics, abnormal-event detection, and rapid data distribution to minimize latency and support mission-critical responses. By integrating Wi-Fi, LTE, 5G, PTP wireless backhaul, and AIoT devices into a single cohesive system, EdgeLink-X enables applications such as slope monitoring, intersection intrusion detection, pantograph spark/wear monitoring, and onboard operational visibility—forming a robust foundation for next-generation safe and intelligent mobility.

The diagnosis of ADHD is based on the core symptoms appearing in DSM-IV or V criteria. In addition to the criteria, some physicians use checklists to assist the diagnosis of ADHD. However, either symptoms or checklists are subjective, which leads to diagnostic problem. In this product, data from the gyroscope and accelerometer in a smart watch were used to analyze the movements of children with ADHD. The children with ADHD and controls wore the watches on their hands simultaneously in class and compared the data from recorders for analysis. This method can help us to establish a objective tool for diagnosis and evaluation of ADHD.

Carbon Star is a specialized greenhouse gas (GHG) inventory management platform developed by StarTrust Systems, offering enterprises extensive carbon management capabilities. The platform encompasses organizational greenhouse gas inventories (ISO 14064-1) and product carbon footprint inventories (ISO14067), featuring the most extensive functional modules to enable enterprises to effectively gather carbon emissions data throughout their operations. 1. The platform is equipped with calculation benchmarks for carbon emissions and the latest factor data, facilitating enterprises in promptly collecting and computing data. 2. It integrates comprehensive management functions, including approval workflows and reminders, to assist various departments within enterprises in effectively managing greenhouse gas emissions. 3. Departmental access is segregated to ensure confidentiality across departments, allowing cross-departmental retrieval and referencing of only designated data. This measure guarantees the confidentiality of information from both manufacturing facilities and product domains. 4. Carbon Star automatically generates reports and emission inventories swiftly, streamlining enterprise management and verification processes. 5. Data analysis results are presented through a dashboard interface, empowering enterprises to compare and analyze data efficiently.

Automated License Plate Recognition (ALPR) is widely employed in areas like highways, parking lots, urban roads, and many other controlled areas that need traffic management or law enforcement to preserve both the safety of road users and vehicles. However, ALPR encounters diverse environments and unexpected challenges, making it crucial to develop more efficient and precise solutions. FETCi AI ALPR Supports license plate designs and formats from over 100 countries, including various colors and fonts used in Asia and the Far East. Stacked letters and complicated background can also be identified through the power of AI.​ FETCi's AI ALPR solution features easy integration and high recognition success rate; it combines FETCi's accumulated decades of Toll Collection experiences and practical events database and analysis. With the assistance of FETCi's professional technical team, you can quickly build a complete, highly accurate, and easy-to-operate AI ALPR solution.

Exposure to “pesticide residues” has been linked to cancer, neurological diseases, reproductive health effects, and congenital developmental and learning disabilities; most fruits and vegetables are sprayed with pesticides, but we don’t know the extent of pesticide residues when we wash them Therefore, it is necessary to provide a device to help determine the pesticide residues in vegetables and fruits during cleaning, so that we can eat with peace of mind and eat healthily.

The "Dosage Evaluation Method" applies AI technology to assess dosages for high-risk medications, using Vancomycin as an example. This method addresses limitations in clinical practice, where dosages are typically determined by physician experience or population pharmacokinetic parameters, which may not account for individual patient variability. Although several AI-based prediction models for dosage evaluation currently exist, most of these models directly suggest dosages, often without fully considering physician expertise. The innovation of this method lies in its approach to validating only the physician-selected dosage, providing reference feedback without influencing the physician’s final decision. This design not only respects the physician’s professional judgment but also enhances the safety of medication administration.

TECO develop Air conditioners base on the core vision of ” Energy Saving , Emissions Reduction, Intelligent Operation, Automation” in order to provide total AIoT solutions. Our residential air condition series apply “Smart maintenance system” which could inspect operation status/ collect data /diagnose issues and provide appropriated troubleshooting suggestions proactively and precisely. The system utilizes expert system not only solve issues but also initiate a tailor-made service plan in a shorter time with less manpower.

SNAPPASS is a next-generation 2FA access control solution that converges facial recognition with card-based access. By encrypting biometric data onto SNAPPIN cards, card owners have complete ownership over their data, enabling scalable and resilient biometric infrastructure that doesn't need a database or internet connection. 1. Enhanced Privacy Protection: Each user’s biometric data is encrypted exclusively onto their SNAPPIN card, processed locally only upon terminal activation, and immediately erased after authentication. By eliminating the storage of sensitive personal data, SNAPCHECK offers a scalable solution that safeguards identity privacy, providing institutions with peace of mind against threat actors. 2. Advanced Defense Against AI Threats: SNAPCHECK is designed as a formidable defense against AI-powered social engineering attacks. Equipped with a triple-camera HDR array and wide-angle optics, SNAPPASS reliably detects and identifies facial features even in the most challenging lighting conditions. When paired with SNAPCHECK’s advanced recognition and liveness detection algorithms, this system is prepared to counter emerging AI threats with precision and effectiveness."

Specially for micro parts with a diameter less than 2mm, the CMHT is equipped with integrate automatic feeding system, automatic monitoring and carburizing quenching furnace for real-time adjustment, innovative oil tank, collecting device and intelligent digital services. It provides the heat treatment industry with customized, intelligent production solution. Its advantages are as follows ‧ CMHT has 100% collecting rate (50~60% for traditional equipment), 99% yield rate (50~65% for traditional one). ‧ CMHT reduces heat treatment schedule from 30 days to 2 days only. Based on demand, CMHT can rapidly replace process modules to substitute whole traditional heat treatment equipment and price of CMHT is only half of traditional one. ‧ Introducing intelligent digital service function, CMHT transforms experiences of traditional equipment into data decision, reduces reliance on human experiences, sets up industrial IoT solution and provides heat treatment industry with smart manufacturing via cloud services. ‧ Won the international honor of R&D 100 Awards and Edison Awards.

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.

The Civil IoT data service platform collected and stored environmental sensor data in four key areas: earthquake, water resources, air quality, and disaster prevention, and provides real-time data service using the OGC SensorThings API that conforms to the international data modeling standards for value-added services through a unified data modeling framework. In order to solve the problem of insufficient communication in remote areas, Band20 frequency band is utilized to build a backbone network core service for IoT application, which provides remote areas with the use of Band20 frequency band as a network communication method for IoT data transmission, and expands the scope of IoT deployment in remote areas.