MYAI - AI Manufacturing

AI Manufacturing

Automation and Smart Manufacturing: AI technology enables manufacturing enterprises to achieve automation and intelligence, improving production efficiency and quality, reducing costs, and facilitating highly customized and personalized production.

Unstructured Sorting

In global industrial production logistics, package sorting is becoming a new frontier for robotic integration. Artificial intelligence is driving advancements in unstructured sorting. For example, some smart sorting robots recently adopted by domestic logistics companies have demonstrated exceptional efficiency, precise operations, and lower costs. These innovations effectively address challenges such as rough handling, transforming industrial logistics from "chaotic" to "orderly."

3D Modeling

3D modeling, often referred to as geometric modeling, can be simply understood as using computer technology to represent envisioned objects in a three-dimensional format. With societal advancements and diverse needs, the integration of 3D modeling with artificial intelligence has become ubiquitous in areas such as product modeling, architectural design, and film production. In the era of Industry 4.0, 3D modeling infused with AI technologies is expected to revolutionize traditional manual methods by leveraging deep learning. This transformation will enable industries like automotive and heavy machinery to achieve more precise and efficient automated 3D modeling processes.

Design Assistance

For industrial designers, the application of AI technology provides more precise and efficient design assistance services. For instance, AI can gather and analyze customer preferences and needs through big data, aiding in inspiration generation and execution during the design process. The future development of high-standard design assistance will depend on further advancements and utilization of AI technologies.

Robot Force-Controlled Polishing

Traditional manual polishing methods have long been associated with disadvantages such as low production efficiency, environmental noise pollution, inconsistent precision and uniformity, and extended work cycles. The advent of robot polishing technology offers a perfect alternative to manual polishing, enabling efficient and highly automated polishing processes. This innovation not only resolves previous challenges but also plays a significant role in applications such as deburring in modern automotive wheel production.

Machine Vision

Machine vision, a rising trend in artificial intelligence, leverages powerful data collection and analysis capabilities to bring transformative changes across industries. Currently, machine vision technology is widely applied in automotive, electronics, semiconductors, consumer electronics, glass manufacturing, healthcare, and machinery production. It not only reduces labor costs and significantly improves efficiency but also performs reliably in challenging production environments, completing tasks seamlessly. As a result, the machine vision industry is expected to remain a high-growth sector for a considerable time, driven by substantial market demand and high potential for innovation.

Predictive Sensing

In our daily lives, weather forecasts are a common example of predictive sensing. In the industrial production sector, predictive sensing refers to high-output intelligent information management systems equipped with fault prediction, self-diagnosis, and self-repair capabilities. These systems reduce production line downtime and losses by identifying potential issues in advance. For instance, CCR and PMS information management systems are examples of predictive sensing technologies applied in automotive manufacturing.

Human-Machine Interaction

Human-machine interaction is an AI-driven technology that transforms the relationship between humans and machines from one-way control to two-way communication. By creating shared workspaces for humans and machines, it redefines mutual learning, resource sharing, and experience exchange. In everyday life, this technology is manifested in devices like wearable computers, while in industrial production, it takes the form of collaborative robots and similar innovations.