Application

In the electronic manufacturing industry, the toroidal winding machine is a core equipment for producing magnetic components such as inductors and transformers. Its winding precision, operation efficiency and detection capability directly affect product performance and production benefits. Currently, with the rapid development of industries such as 5G communication, new energy vehicles and the Internet of Things (IoT), the market demand for high-frequency, high-power and miniaturized magnetic components is growing increasingly. Traditional toroidal winding machines have gradually been unable to meet the requirements of modern production in terms of efficiency, precision and intelligence.

With the booming development of the new energy vehicle market, increasingly stringent requirements have been imposed on the manufacturing precision, reliability and production efficiency of high-voltage wiring harnesses — the "main artery" of vehicle power transmission. Traditional production models relying on manual labor and semi-automated equipment are confronted with bottlenecks in consistency, efficiency and traceability. Against this backdrop, based on the "iComputer + UniVision" integrated control-vision-computing solution, Sinsegye has built a full-process automated and intelligent production line for high-voltage wiring harnesses for industry customers. The line compresses the production cycle time (CT) to 15 seconds per single end of a harness, with the yield rate stably maintained at 98.5%, providing a reliable benchmark for large-scale, high-quality production of high-voltage wiring harnesses.

On automated production lines, enabling robots to realize the collaborative work of "eyes" and "brain" for accurate identification and rapid grasping of irregular materials is a key challenge for the manufacturing industry to move towards intelligence. In the material sorting and palletizing process, traditional solutions are often faced with challenges such as complex equipment, long debugging cycles, and separation of vision and control systems. Recently, Sinsegye provided a targeted robotic vision palletizing solution for a precision manufacturing customer — with a single SP7010 iComputer as the core and equipped with the self-developed UniVision machine vision system, we have successfully realized a full-process intelligent closed loop from "seeing" to "grasping", increasing production efficiency by 14%.

In the lithium battery manufacturing process, electrode coating is a core procedure that determines battery performance and safety. Its control precision and stability are directly related to product yield. Industry data shows that quality abnormalities caused by the coating process account for as high as 50%, making it a key bottleneck restricting capacity and quality improvement. Facing this common industry challenge, a lithium battery equipment manufacturer has established in-depth cooperation with Sinsegye, aiming to jointly build a more efficient and intelligent next-generation coater control system to break the boundaries of performance and cost. Based on this, Sinsegye went deep into the site and proposed an innovative iComputer solution targeting the complex control needs of the coating process. Centered on the independently developed SP7010 iComputer, it has launched a comprehensive innovation of the traditional control architecture.

In the rapidly developing fields such as new energy vehicles and high-end chips, there is a key material called silicon carbide (SiC), hailed as the "diamond of the semiconductor industry". With its excellent performance, it has become one of the cores of industrial upgrading. However, precisely and efficiently cutting this hard "diamond" into thin slices or precision devices is a world-class challenge. A technology enterprise focusing on the R&D of third-generation semiconductor material processing equipment is facing such a dilemma. Sinsegye’s involvement has brought it a brand-new solution — instead of manufacturing a new cutting machine, we equipped it with a set of independently controllable "smart brain", thus driving the equipment to achieve a qualitative leap.

Amid the wave of intelligent transformation in manufacturing, many enterprises are caught in a dilemma between "upgrading" and "cost control" — and this was exactly the case for Sinsegye’s latest client. The nut-sleeving and bending all-in-one machine on their production line, like a "veteran with distinguished service", boasted stable performance yet was somewhat "rigid". Its original closed control system struggled to meet modern demands such as adding robots and integrating visual inspection, becoming an "invisible ceiling" that hindered efficiency improvement. To address this challenge, Sinsegye did not resort to "large-scale demolition and modification" of the equipment. Instead, it implanted a "smart brain" — an integrated Control, Computation, and Vision solution based on the SP7022 iComputer. This solution not only resolved the integration difficulties between robot integration and visual inspection but also opened the door for the client to move towards a future smart factory. It stands as a successful practice of breaking "closure" with "openness" and reducing "complexity" through "integration".

With the widespread application of silicon carbide (SiC) devices in high-end fields such as new energy vehicles, photovoltaic power, and rail transit, the market demand for large-size silicon carbide wafers of 8 inches and above is becoming increasingly urgent. However, traditional diamond wire cutting processes face issues such as low efficiency, high costs, and difficult precision control when dealing with large-size, high-hardness wafers, which severely restrict capacity release and yield improvement.

As a core pillar of the new energy sector, the lithium battery industry has witnessed explosive growth in demand for electric vehicles and energy storage in recent years, posing higher requirements for production efficiency and automation levels. The cycle accuracy and stability of logistics connection links directly affect overall production capacity. Traditional conveying systems suffer from pain points such as low positioning accuracy, slow cycle times, and poor flexibility, making it difficult to meet the high-standard requirements of lithium battery production.

How to achieve accurate collection and intelligent analysis of key data throughout the entire process without affecting the existing production system when traditional washing production faces challenges such as data dispersion, difficult control of quantity and quality balance, and decision dependence on experience? Sinsegye has provided the answer - by deploying artificial intelligence machines to directly collect instrument data from the source, real-time processing and local storage are completed at the edge, and ultimately a four level data link of "mining end - artificial intelligence machine - secondary company - group" is built, laying a solid digital foundation for the digital balance and efficient management of washing production.

In the field of semiconductor manufacturing, the precision and reliability of wafer transfer are directly related to chip yield and production efficiency. To meet customers' stringent requirements for the motion trajectory and position accuracy of manipulators, Sinsegye has designed an Integrated Control and Computation solution centered on the SP7020 iComputer, solving the problem of high-precision wafer picking and placing in the semiconductor industry.