Enables real-time patient monitoring, personal big data analysis, and machine learning for future AI Medicine applications.

The Automatic Sorting Machine uses AI-driven innovative technology to usher in new possibilities for future automation. Through precise sorting of waste, it enhances recycling efficiency and collects more valuable materials. Furthermore, this product can be customized according to the needs and characteristics of different factories. It helps customers increase processing volume and purity, reduce labor burden, and lower operational costs.

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.

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.

LanCore Intelligent Aquaculture Cloud System is a high-end product used in aquaculture fishery, with intelligent, high-efficiency and power-saving effects. Its main features are: (1) Integrate more advanced self-development software to achieve intelligent control, which can remotely control aerators, feeders, water pumps and other breeding equipment. (2) The intelligent scheduling control mode supports timing setting, numerical value setting, and dynamic operation adjustment. The power saving effect is quite significant, up to 60%. (3) Multi-scenario scheduling and dynamic operation adjustment, high-speed operation is used at night to increase the amount of dissolved oxygen. During the day, the aerator can be adjusted to run at low speed to activate water quality and create an excellent breeding environment. (4) The grouping control system is ideal for cross-field and large-scale fishery users. It is easy to build cloud control and realize energy saving.

Introducing the innovative “Carbon Accounting Account” service developed by E.SUN Bank. E.SUN Bank’s cardholders can now open their Carbon Accounting Account in the “life” section of E.SUN Wallet app. By using a credit card or debit card with the EasyCard function to ride designated public transportation such as MRT, buses, intercity buses, high-speed rail, Taiwan Railways, and Youbike, cardholders can check their transportation carbon reduction. They can even compare it to the equivalent decrease in toilet paper rolls or plastic bottles, making carbon reduction efforts in daily life more tangible.The “Transportation Carbon Reduction” service is developed by EasyCard Corporation and is the world’s first electronic ticket greenhouse gas inventory management system to pass the British Standards Institution (BSI) audit. This ensures that the carbon reduction data is more credible.

Our team has built predictive models based on whole transcriptome data from patients with advanced metastatic prostate cancer, focusing on two different mechanisms of action: androgen receptor antagonists and androgen synthesis inhibitors. These two types of drugs essentially offer only one chance of selection, as resistance to one renders the other ineffective. Using weighted gene correlation network analysis, we identified several gene modules correlated to specific drug responses. Then, we combined several machine-learning algorithms and constructed classification models for different drug mechanisms. Our goal is to use detection services to determine the most effective drug for patients before administration.

3. High-end line: full system is 307 or 316 stainless steel chassis. Model No.: AH6676D (316) - Successful Case: Installed at the perimeter of Taipower Plant, an offshore area. - Sony Starvis™ sensor with 2MP, 5MP resolution. - Different angle lens are available. IR LED range is up to 40 meter.

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.

This exhibition is an atmospheric physical-chemical grid model for prediction of changes in air quality, utilizing data from the U.S. NCEP global weather forecast and regional air pollutant emissions. Local scientific investigation data has been used to adjust and calibrate the model and thereby largely improve the accuracy of the air quality forecast over Taiwan. The 3D display system enables us to understand the transmission processes of cross-border and local air pollution. The system is capable of simulating the changes in air quality over the next three days (72 hours) in Taiwan, with a temporal resolution of 1 hour and a spatial resolution of 3 km. The simulated data can be integrated with air quality data from the Civil IoT Taiwan, providing air quality forecasts every three hours (totaling 72 hours) for six metropolitan areas This system offers regulatory authorities up-to-date information on air quality trends in Taiwan, as well as critical data for formulating control strategies.

LanCore Net-Zero AIoT System can be applied to aquaculture industry, using IoT technology combined with mobile APP, which can perform aquaculture aerator control, frequency conversion, environmental monitoring and data collection. It has both smart farming and energy-saving benefits. The special DC/AC control structure can directly utilize solar energy (DC) and share it with the mains (AC), automatically switching, no inverter required, and easily realizing on-site renewable energy generation. This innovative technology leads industrial upgrading and realizes green digital transformation.

PALF is committed to developing eco-friendly textile products by using recyclable, zero-carbon emission agricultural waste "Pineapple Leaf" to establish the first localized sustainable yarn and fabric pilot production line in Taiwan. We promote the recycling of waste materials to create a more environmentally friendly, sustainable textile and fashion industry.