Robotiive is an AI Computer Vision powered Industrial automation (RPA) solution that builds the foundation of your smart factory. By automating manufacturing processes and workflows, upgrading your legacy equipment, and reducing human workload, it builds upon your existing systems and ensures nothing is left behind in the age of digital transformation.

With the emergence of technologies such as 5G, the Internet of Things, Artificial Intelligence and Cloud Computing in recent years, the server industry has experienced explosive growth. In line with the two major trends of "software definition" and "open standards," private industry and governments are collaborating to promote numerous high-tech research projects and the development of critical technologies. As the cloud industry chain continues to evolve, the annual power consumption of data centers, which are made up of numerous individual servers, increases greatly. Consequently, the effective thermal management of servers and data centers has become an increasingly crucial issue.

The cleaner the sorting of recyclables in the resource circulation process, the higher their reusable value. We leverage the most advanced AI vision recognition technology to introduce innovative applications into existing production lines. Our systems automatically inspect the targets to ensure the purity of sorting, thereby increasing the reusable value and maximizing profits for the factories. By collecting and training with actual production line image data, we continuously update the dataset to handle various compositions of recyclables. Our vision recognition equipment features low-power hardware that can be easily and simply installed onto existing production lines. Additionally, we can create diverse labeling data for various recyclables.

【Smart Medical - Smart Cloud Rescue System】:Online pathology data helps emergency ambulance services and professional care in hospitals , it also break through geographical restrictions and share medical resources.

Leveraging system development technology and combining it with environmental engineering consulting expertise, EGIT provides comprehensive and convenient climate-change adaptation support systems for various entities, including government agencies, financial institutions, universities, and private organizations. The system encompasses features such as GHG inventory, climate change risk alerts, and asset depreciation assessment. Our expertise assists organizations in addressing climate risks.

The BSMX series of early warning modules for lithium battery thermal runaway, developed by Taiwan Intelligent Pollutant Sensing Co., Ltd., is a next-generation BMS upgrade solution that requires only simple installation to integrate with existing systems. The module is equipped with high-sensitivity sensors developed specifically for energy storage safety applications, with a rapid response time of as fast as three seconds. The module offers multiple signal output interfaces to choose from and features a proprietary smart algorithm that eliminates the need for calibration after installation. It is particularly suitable for energy storage systems that operate continuously for long periods and are difficult to maintain. A design-in service can provide ESS suppliers with the most suitable function integration without any interrupt.

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.

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 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, informing regulatory authorities the changes in air quality for the near future, and key information for formulation of control strategies

Live crowd movement information is crucial in busy public spaces. Manual checks and basic sensors often lack accuracy and fail to keep up with real-time changes. The People Counting System uses AI video analytics and multi-sensor fusion. It delivers accurate, real-time crowd data. The system automatically counts people, tracks direction, monitors density, and provides instant alerts and reports. Deep learning ensures accuracy in low-light or crowded conditions. Multi-target tracking prevents double-counting. Edge computing and cloud-based management enable on-site analysis and long-term monitoring. Integrating cameras, infrared, Wi-Fi, and Bluetooth data improves detection and increases coverage. The system generates real-time heat maps, flow analyses, and historical records. These support layout optimization, entry regulation, evacuation planning, and efficiency. The system serves malls, transit hubs, campuses, parks, and public buildings. It is vital for smart cities. It replaces manual counting with intelligent management for better safety, responsiveness, and adaptability.

Self-developed wireless low-power high-capacity communication protocol, suitable for motion trajectory IoT devices that pursue high battery life and low latency, and can connect 2,000 devices at the same time

Agriculture is the main industry in Yunlin County. Nearly 1/3 of the population are workers in the primary industry. In addition, more than 60% of the population in the related industry chain is engaged in agriculture-related businesses. However, due to the outflow of young people from rural areas, an aging society, and global climate anomalies have made it difficult for agriculture to maintain stable yield and quality, and the international community has responded to the issue of carbon reduction. How to balance food security and environmental sustainability has become a major issue in the current agricultural transformation. Therefore, the Yunlin County Government promotes the agricultural creation service guidance team, discovers local DNA, combines traditional agriculture to carry out digital transformation of farms, effectively improves agricultural productivity, bridges the gap between labor shortage and unstable production, assists the agricultural industry in line with international carbon reduction trends and create low-carbon sustainable urban and rural happiness.The project won the 2023 Smart City Innovation Application Awards.

WeatherRisk provides tailored energy forecasting solutions for the energy industry, including: 1. High-resolution, bankable historical data (metocean, solar irradiation) 2. Weather forecasting systems for O&M (offshore wind farms, solar assets) 3. Solar power forecasting (solar assets and grids) 4. Wind power forecasting (wind farms and grids) 5. Load forecasting Energy forecasting has a wide range of applications in the energy industry: • For FTM (front-of-the-meter) power dispatch, ancillary services, asset evaluation, and PV-Storage. • For BTM (behind-the-meter) virtual power plants, microgrids, renewable energy trading, as well as strategic support for energy market operations.