Green Manufacturing from Taiwan Brings Sustainability to Thai Factories: Simplifying Production Complexity with Intelligent Solutions from SOLOMON
When automation or smart factory systems become increasingly complex and require specialized skills, many factories or businesses looking to transform are faced not only with financial barriers, but also with human resource challenges. Adapting to rapidly changing demands and maintaining sustainable business operations becomes more difficult than ever. AI technology has emerged as a perfect solution to bridge these gaps. But how can AI become a functional part of manufacturing or industrial business? SOLOMON, an industrial AI expert from Taiwan, is here to share their insights.
For those who follow MMThailand, you might remember a previous article we wrote about SOLOMON. Although SOLOMON may not yet be widely recognized among Thai manufacturers, it is a well-known brand in Taiwan. At Intelligent Asia 2024, held at TaiNEX, SOLOMON had one of the largest and most visited booths throughout the event. Today, MMThailand has the opportunity to speak with Mr. Joseph Tsao, Sales Manager at Solomon Technology Corporation, about AI in the new era of manufacturing.
How Can AI Help Overcome the Barriers of Integrating Smart Technologies in Manufacturing?
“The most critical challenge manufacturers face today is the increasing volatility and complexity in production cycles. Meanwhile, consumer expectations are changing rapidly, requiring product innovations to happen faster than ever, while equipment is expected to last longer and be smarter,” said Mr. Joseph, describing the current challenges in integrating new technologies into manufacturing.
The application of modern manufacturing technologies—whether smart machines, IIoT, or various digital solutions—has become essential for competitiveness today. With pressure from global supply chain uncertainty, geopolitical conflicts, resource shortages due to climate disruption, and aging populations, manufacturing businesses must discover efficient, sustainable ways to operate.
“If manufacturers want to remain competitive and sustainable, the first step is to maximize the value of historical process data. Every process must be transparent and traceable before building upon it with AI-powered expert systems that learn and adapt continuously. This enables businesses to be resilient and respond sustainably to change,” Joseph emphasized. His point highlights the importance of having comprehensive, accurate, and timely data as a foundation before AI can be effectively deployed.
From Data to AI: A Seemingly Simple Matter That Has Caused Significant Losses for Many Factories
Entrepreneurs and many others may have misunderstood AI to be a kind of miracle cure that can produce positive outcomes in any scenario it is applied to. In truth, this is a myth not unlike the misconceptions surrounding robotics and automation systems commonly seen today. These beliefs often stem from investments made without thoroughly considering readiness, needs, urgency, and internal factors—resulting in what could be called “Technology Shopping” with little understanding of the real context.
It’s clear that every technology has unique conditions and requirements depending on the business, and AI is no exception. For AI to function effectively, it must have sufficient and multi-dimensional data on the task it’s expected to assist with. This is necessary so the system can learn and respond accurately to different scenarios—whether it’s quality inspection, data tracking, or pick-and-place operations. Therefore, AI users must have a substantial dataset to train the system to identify and respond appropriately.
Conversely, when the data is insufficient, AI can respond inaccurately or too slowly. That’s why deploying AI often requires a supportive ecosystem to ensure accurate decision-making. Moreover, the technology must be capable of executing decisions made by the AI. For example, in a beverage factory where AI is expected to monitor or adjust parameters within the pipeline system to maintain product quality—like pressure, viscosity, flow rate, temperature, and pH levels—various sensors must be installed across the production area. This also requires a stable network system and a platform or hardware for data collection and storage. And all of this doesn’t even include the need for experts to manage IT data and technical production line data.
It’s clear that the investment required to initiate AI integration can be enormous. Design errors or external factors that distort the system can cause major business disruptions. As seen in many cases, integrating new technologies without proper understanding has led to halted production lines or serious damage—even in the world’s largest corporations.
SOLOMON Seamlessly Integrates AI into Production Lines for More Sustainable Competition
SOLOMON is a pioneer in industrial AI solutions, offering an advanced model-building platform specifically designed for various industrial tasks such as robotic pick-and-place, motion guidance, defect inspection, and general AI image analytics. With its core expertise in AI, SOLOMON has developed flexible tools that can be easily scaled and extended—turning complex technology into practical, real-world applications.
“We have years of experience implementing Vision AI across Southeast Asia, and I’ve clearly seen that most modern factories still struggle with fragmented workflows and a shortage of AI specialists. SOLOMON has developed solutions to overcome these challenges using cutting-edge technologies that have always been at the heart of our work—such as Vision Transformer (ViT), synthetic data, and data augmentation. These tools break traditional market barriers. Even with limited sample data, we can train highly effective models for specific detection or classification tasks,” said Joseph. “Most importantly, our platform is user-friendly. You don’t need an in-house AI team—factories and businesses can manage the entire training and deployment process through a single GUI. It supports both on-premises and cloud processing, multi-model inference, and rapid project turnaround.”
“At Solomon, we help manufacturers unlock their data potential through machine learning to identify root causes, spot trends, and optimize operations across the board. Of course, the improvements are measurable—whether in terms of OEE or energy monitoring—but SOLOMON’s value extends beyond that. We focus on integrating human labor with technology, blending the strengths of both. With the precision, speed, and transparency of technology, combined with the decision-making, creativity, and problem-solving of human workers, sustainable competition becomes achievable. Factories grow, businesses thrive, and workers evolve as well,” Joseph emphasized.
Because green manufacturing and sustainability are not just about energy, Joseph also highlighted how ESG considerations now play a greater role in today’s competitive landscape—with more factors that must be addressed.
Experience Three Intelligent Manufacturing Innovations from SOLOMON at MANUFACTURING EXPO 2025
To help Thai manufacturers enhance their competitive edge in line with real-world challenges, SOLOMON brings industrial AI technologies developed from extensive experience and pre-configured presets that are easy to implement. These highlighted technologies will be showcased at MANUFACTURING EXPO 2025, including:
AccuPick 3D
An AI-powered 3D vision system that integrates seamlessly with leading robotic brands widely used in the market. It enables flexible robotic pick-and-place, bin picking, and motion planning with unmatched precision. This makes it an ideal technology for the automotive, electronics, and metalworking industries.
Solvision
A comprehensive AI+AOI (Artificial Intelligence + Automated Optical Inspection) platform for visual defect inspection. Users can train and deploy Solvision’s AI models without writing any code. Solvision supports real-time validation, intuitive labeling, and easy pipeline customization—making error detection more efficient and accurate across production lines.
META-aivi
An intelligent AI-powered device designed to enhance smart manufacturing performance. It supports RESTful API integration with existing systems and can be mounted on mobile robots, conveyor lines, or any platform to enable real-time quality checks, object detection, or component validation with minimal latency. It can also be worn or used by workers to provide procedural guidance, addressing skills shortages and preventing human errors.
The Solution You’ll Fall in Love With! Experience Solomon’s Smart Solutions Firsthand at the TAIWAN EXCELLENCE PAVILION During MANUFACTURING EXPO 2025
“Today, Thai manufacturers are in the midst of a crucial transition to move up the value chain. They face pressures from supply chain disruptions, labor shortages, and global sustainability mandates. The adoption of AI plays a vital role in reducing dependency on uncertain factors such as manual labor, guesswork in problem-solving, and inconsistent workforce performance. By decentralizing legacy workflows through cutting-edge technologies like Edge AI solutions—such as META-aivi—manufacturers can achieve autonomous operations even in remote areas with unreliable connectivity. These modular technologies support future scalability and, when combined with existing resources like reskilled workers, enable strong local competitiveness. This allows Thai industry not only to survive—but to rise to the global stage,” Joseph emphasizes the transformative opportunity at this turning point for Thailand’s industrial sector.
Don’t miss out! Manufacturers, System Integrators, and those interested in smart innovation—come meet SOLOMON and experience AccuPick 3D, Solvision, and META-aivi in action at the TAIWAN EXCELLENCE PAVILION, Booth 8F11, located in the ASSEMBLY & AUTOMATION TECHNOLOGY zone at MANUFACTURING EXPO 2025, BITEC Bangna, from June 18–21, 2025, 10:00 AM – 6:00 PM. Admission is free!
“Discover sustainable machining solutions that are smart, safe, and truly future-ready. Only at Manufacturing Expo 2025.”
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