Vehicle Classification enables transportation authorities to automatically identify and classify vehicles according to their visual attributes. This technology finds widespread application in traffic management systems, toll collection, parking facilities, and security setups. FETCi leverages AI algorithms and machine learning methodologies to analyze video data collected through LiDAR technology. With an extensive database and repository, FETCi's AI AVC proficiently sorts vehicles into distinct categories, including cars, trucks, motorcycles, buses, and more. By integrating LiDAR technology with AI-powered image recognition, FETCi establishes a vehicle recognition system equipped with self-enhancement and deep learning capabilities.

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

AI Smart Office AI Model Training Assistant: Use the most advanced AI model training technology to establish an automated AI model training processing system. The no code interface allows the AI ​​multi-modal model training assistant to provide education and training for the company's AI technology developers. As well as the simulated environment and output-related AI models.

iCue Smart Care Assistant iCue is more than a non-contact smart sensing mat—it’s a comprehensive intelligent care solution. -Smart Sensing Mat: Installed under any mattress, it continuously monitors physiological data like respiratory rate, heart rate, body movements, and bed exits without direct contact. -Real-Time Alerts: Detects critical events such as nighttime bed exits or prolonged immobility, instantly notifying caregivers to prevent falls and pressure ulcers. -AI-Driven Insights: Generates daily and weekly reports, analyzing health trends and providing data-driven care recommendations. -Professional Support: Offers expert nursing consultation to help users and institutions interpret data and optimize care plans. -Cross-Platform Integration: Sends real-time notifications to mobile and desktop devices, ensuring caregivers and family members stay informed anytime, anywhere.

MyGuardianAi Pro (Model:XC-211) is the world's first technology-leading product with precise fall prevention and detection accuracy. The fall detection accuracy reaches 99%, and the fall prediction accuracy reaches more than 90%. The related AI patented technology is also used in the prediction of Parkinson's disease among the elderly. MyGuardian Ai Pro adds fall prediction features to the latest patented fall system, which includes 1. The introduction of new sensors, 2. The development of innovative fall prevention algorithms, 3. The introduction of deep AI, 4. Integration of mobile apps and cloud computing, which can It reduces the risk of falls by up to 45% and is a portable emergency help device designed for the elderly to use when going out at home.

As the response to pandemic and epidemic prevention effort, ARBOR combined “Infrared Thermal Imager technology” with “high performance medical panel PC”, and Recognition AI, to create LK403, Portable temperature and mask detection station.

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.

Blue Ocean’s Water-Storing seedling pots, take their design inspiration from the shape of Chinese gold ingots, which symbolize the accumulation of wealth. The water-storing planter, with a string-drip irrigation design, improve the survival rate for planted saplings.With a water storage capacity of 15 liters, the pot protects saplings at the stage when they most need it. A special bio-degradable design protects the pot’s structure made from recycled paper, allowing it to store water. Continually collecting and storing rainwater, the seedling pot can protect tree saplings for up to a year*.(see note below) The pot will biodegrade completely into the soil, leaving behind no burden to the environment! *The decomposable rate would vary with the factors of moisture, temperature, exposure to sunlight and the presence of microorganisms.

Acer ITS self-develop smart parking meter system provides vehicle detection, license plate recognition, auto-ticketing, multi-payment functions to achieve the goal of payment automation for roadside parking. It also provides instant parking space information so that drivers can see the parking availability through mobile APPs to avoid circling in the city that causing traffic jam and higher carbon emissions. It collects parking information through auto-ticketing system, and feeds in big data platform to produce accurate turnover rate and usage rate. These data are the base of policy making for parking authorities. Applications with automation, intellectualization and mobilization provide drivers with nice parking experiences, and enhance parking management performance for parking authorities. Let smart parking become new smart city indicator for satisfied people and high performance government.

Z-COM has invested in heterogeneous network integration R&D for years. Through partnership with global leading Telco operators, we’ve accumulated abundant experience in telecom system integration with Wi-Fi- extended broadband network, to offload traffic from 3G/4G mobile networks as well as providing mobile network coverage with less cost. Over the years, Z-COM’s carrier grade solutions are used to deploy massive scale of Wi-Fi hotspots and various applications for smart city. The new Z-COM carrier-grade wireless network solution introduces Software Defined Network (SDN) architecture, with Edge Computing concepts for Artificial Intelligence of Things (AIoT) applications. The solution offers higher wireless bandwidth, separates control and data plane for edge computing, that provides customized products equipments and software with compatibility, stability, scalability, and security for mobile network operators. Z-COM solutions offer best cost/performance value, with rapid deployment and easy management tools that help telecom operators reduce capital investments and operating expenses, accelerate cost recovery and increase profits.

LiftMind is a non-invasive AIoT elevator add-on system that enables rapid upgrades to smart functionality without modifying existing elevator control systems. The system leverages advanced external sensors and AI technology to deliver features such as passenger flow monitoring, emergency incident alerts, user behavior analysis, elevator operation optimization, and enhanced, user-friendly riding experiences. Its open architecture seamlessly integrates with Building Management Systems (BMS) and other IoT devices, significantly improving elevator management efficiency and user satisfaction. LiftMind supports a wide range of elevator brands and models, offering flexible adaptability to various application scenarios, making it the ideal solution for smart building upgrades.

Currently, the prognosis of critically ill patients in the intensive care unit (ICU) is often assessed using the APACHE or SOFA scoring systems to predict mortality rates. However, these systems have been in use for over 20 years, and the data they are based on is outdated. Today, clinical data is more abundant and precise, and advancements in machine analysis capabilities have made traditional scoring systems insufficient for meeting the demands of accurate predictions and personalized medicine. To address this, our team has developed a survival prediction device for critically ill patients. Using an AI algorithm model, it utilizes clinical data such as physiological, laboratory, and examination results to predict the patient's survival rates for the next 30, 60, and 90 days, providing a more accurate reference for prognosis assessment and medical resource allocation.