AI Image Recognition (Intelligent Storage): Install surveillance cameras in the warehouse campus to accelerate the identification speed of AI Intelligent Image Analysis System through 5G network, and assist the management of the enterprise campus. AR Remote Equipment Maintenance: Use a 5G network to enable field workers to communicate with remote experts through AR smart glasses and simultaneously initiate multi-party video collaboration. Light A.I. Virtual Guard: Replace traditional human monitoring with AI cameras, connect to the cloud in 5G for real-time image recognition, and achieve real-time alerts via monitoring platforms and mobile app. AGV/AMR applications: Use 5G wireless connectivity technology to move cargo to designated picking stations and communicate with other equipment in the field to improve efficiency and reduce labor costs.

PD470 is industrial-grade Android handheld device. The rugged handheld enables 1.5m drop resistance and IP67 sealing level rate. It has built-in barcode scanners and a physical trigger button. This mobile computing device features multiple worldwide communication modes and has a 4000mAh high-capacity battery. PD470 weighs 243g only. It is slim, rugged, and explosion proof certified, making PD470 suitable for inspection in petrochemical plants, equipment, and construction areas.

Enables telemedicine amidst hospital, clinic, ambulance, and field settings with integrated diagnostic equipment, medical IoT devices, and smart medical glasses to allow real-time collaboration for effective remote diagnosis, in-transit patient care, and resilient health.

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.

Millilab provides smart automotive in-cabin solutions, including both hardware and software as well as total solutions for CPD (Child-Presence Detection) and DMS (Driver Monitoring System). With our proprietary algorithms, our radar modules can distinguish between adults and children, helping to prevent incidents where children are left unattended in vehicles.

Reflective LCD, clearly visible under the sun AI vehicle detection, camera technology law enforcement Multiple payments Solar rechargeable battery, no need to pull power

With our fiber sDAS, Wave-In effectively reduce mobile signal dead spots caused by insufficient base station coverage, buildings or electromagnetic signal interference. Due to the pandemic, Taiwanese Engineers weren’t able to assist with on-site installation and coverage testing, to solve this problem and improve efficiency, Wave-In utilized Mixed Reality for collaboration and remote assistance.

Millilab provides non-invasive and contactless vital sign detection solutions. These solutions monitor a subject's heart rate and respiration rate while ensuring privacy. The results are visualized in real-time through a GUI (Graphical User Interface). Applications include smart home appliances, intruder detection, sleep quality analysis, and more.

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.

Applying our technologies portfolio to IoT system, we expand the diverse solutions with hardware, software and cloud services to custom reliable and cost-effective applications to incubate smart parks.

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.

Our core product, AI-Stack, is a leading AI infrastructure management platform, essential for businesses adopting AI services. It integrates third-generation GPU partitioning, GPU aggregation, multi-node computing, a new user interface, multi-cloud management, open-source deep learning tools, and environment deployment features, helping enterprises tackle the challenges brought by fast-paced AI advancements.