CASE STUDY

Traditional environmental control methods rely on manual inspections and scattered instruments, resulting in fragmented data and delayed responses that often miss early warning signals. In precision manufacturing and high-tech industries, fluctuations in temperature, humidity, smoke, water leakage, or power anomalies can lead to product defects, production downtime, or premature equipment aging. An effective smart environmental control system enables real-time monitoring of environmental data, ensuring stable production and equipment operation while reducing risks and potential losses.

In the rapidly evolving manufacturing industry, quality control and product traceability have become key to maintaining competitiveness. To address the need for identifying product surface model numbers, date codes, and label information, Liengang Technology offers an automated solution combining AOI high-precision optical inspection with SmartOCR intelligent text recognition. This replaces manual verification and recording, significantly enhancing recognition accuracy and efficiency, while enabling real-time data integration to accelerate decision-making and strengthen production resilience.

In pharmaceutical production and quality management processes, every data parameter directly impacts drug safety and compliance. Faced with massive volumes of clinical and manufacturing data, along with highly repetitive and time-consuming manual recording and review tasks, the implementation of the AiRPA intelligent automation solution—through non-intrusive integration and intelligent process scripting—reduces manpower burden, improves data accuracy, and enhances compliance inspection efficiency. Without altering existing systems or equipment architecture, it enables rapid digital upgrades with low cost and high flexibility.

Despite high levels of automation, many legacy PLCs on semiconductor packaging and testing lines lack networking capabilities. This results in manual data logging and delayed anomaly detection, significantly hindering digital transformation progress.

On semiconductor packaging and testing lines, every data point impacts yield and product quality.
To address the massive volume of data and labor-intensive manual recording, a global leader in OSAT adopted the AiRPA automation solution.
By combining non-intrusive hardware modules with intelligent workflow scripts, AiRPA significantly reduces manpower demands while improving data accuracy and anomaly response times. Without altering existing equipment architecture, the company achieved a low-cost, high-flexibility digital upgrade—fast-tracking its journey toward smart manufacturing.

As industrial automation continues to advance, the number of devices increases and production areas expand. However, when equipment malfunctions occur, on-site personnel are still required to wear protective gear and physically inspect the machines, which prolongs troubleshooting time and lowers overall productivity. In environments with stringent requirements for cleanliness and timeliness—such as cleanrooms, electronic component manufacturing, and biomedical production—the importance of real-time anomaly response and remote control becomes even more critical.