DS combines process engineering and automation integration to connect automatic feeding, material handling, precision dispensing, material bonding, component assembly, controlled pressing, automatic fastening, vision inspection, and process traceability into automated assembly and inspection systems tailored to product and production requirements.
Systems can be modularly configured according to product structure, cycle time, production capacity, quality requirements, automation needs, and implementation conditions, supporting high-mix, high-reliability, and traceable manufacturing.
AI Infrastructure
Semiconductor Equipment
LEO Satellites
Automotive & EV Electronics
Electronics & High-Tech Manufacturing
Drones & AerospaceFrom automatic feeding and material flow to dispensing, bonding, assembly, fastening, inspection, and quality verification, DS integrates modular automated production lines according to product and process requirements.
In addition to the typical configuration above, DS can integrate PSA material bonding, load-cell-based pressing-force monitoring, controlled pressing, connector assembly, and other precision assembly processes according to product and process requirements.
DS integrates robots, dispensing guns or precision dispensing valves, flow control, and process-parameter management to perform path planning and dispensing control according to product geometry, material characteristics, and coating requirements. The system supports continuous dispensing, point dispensing, and localized precision application, with optional vision positioning and inspection based on project requirements.
Sealant
Thermal Grease / Thermal Paste
UV Adhesive
Structural Adhesive
01
Robot paths are planned according to product geometry and dispensing areas, using dispensing guns or precision valves for continuous, point, and localized precision dispensing.
02
Dispensing volume, speed, pressure, and related process parameters are managed according to material characteristics and process requirements to reduce over-dispensing, under-dispensing, and uneven application risks.
03
Vision systems can be integrated based on product and process requirements to support workpiece positioning, dispensing-position verification, path correction, and dispensing-result inspection. Actual configuration is evaluated per project.
04
Jet dispensing or other non-contact dispensing methods can be integrated based on product and material conditions, supporting rapid application for small parts, electronic modules, and high-precision areas.
05
Dispensing parameters, equipment status, process results, and inspection data can be integrated into the SmartCore AI™ manufacturing platform to support process monitoring, quality traceability, and further analysis.
For electronic modules, thermal components, and precision assembly applications, DS integrates automatic feeding, pick-and-place, positioning, bonding, and controlled pressing for PSA tapes/strips, TIM pads, thermal pads, and related functional materials.
After bonding, a load cell can be used to measure the actual pressing force in real time, while pressing time and force are controlled according to product and process conditions, creating a recordable, verifiable, and traceable bonding and pressing process.
01
Supports automatic feeding, pick-and-place, and positioning of PSA, TIM pads, thermal pads, and related functional materials.
02
Performs material positioning and bonding according to product geometry and target bonding locations.
03
Measures actual pressing force in real time using a load cell to monitor the pressing process.
04
Pressing time is set according to material characteristics and product process requirements.
05
Records process parameters such as force and time to establish a traceable process history.
06
Supports OK/NG judgment based on defined conditions, with results incorporated into quality traceability.
DS integrates robots, automatic feeding, workpiece transfer, precision positioning, fixtures, and automatic fastening equipment to build automated processes for part handling, positioning, assembly, and fastening according to product structure and assembly flow.
Depending on project requirements, the system can integrate vision positioning, torque and angle monitoring, product identification, and process traceability to support high-mix and high-reliability assembly while improving productivity, assembly consistency, and process visibility.
01
Integrates fixtures, sensors, product identification, and positioning mechanisms to establish stable workpiece positioning and assembly references.
02
Supports part handling, positioning, insertion, assembly, and transfer between stations according to product and process requirements.
03
Optional 2D/3D vision systems can support workpiece position and orientation recognition, robot guidance, and assembly-position verification.
04
Integrates automatic screw feeding and electric fastening systems to manage fastening torque, angle, and results according to process requirements.
05
Modular stations, fixtures, programs, and product identification support production changeovers across different products and process conditions.
06
Work orders, product information, equipment status, fastening results, and quality data can be integrated into the SmartCore AI™ manufacturing platform to support production monitoring and process traceability.
DS integrates 2D/3D vision systems according to product and process requirements to identify workpieces, determine position and orientation, and provide vision measurement data for robotic picking, positioning, and precision assembly.
For applications involving workpiece position variation, mixed-model production, or precision positioning, robot operating coordinates can be corrected using actual vision measurements to improve assembly flexibility, positioning accuracy, and process stability. Vision systems are optional depending on project requirements.
01
Identifies workpiece type, position, orientation, and pose to provide positioning data for robotic handling and assembly.
02
Uses vision measurement results to guide robotic picking, handling, positioning, and assembly, reducing dependence on fixed part-loading positions.
03
Corrects robot coordinates based on the difference between actual and reference workpiece positions to improve assembly-position consistency.
04
Supports automated alignment, insertion, assembly, and precision positioning, with fixtures and sensors integrated as required.
05
Vision can be used to verify component presence, position, orientation, and assembly status as input for downstream processing or quality decisions.
06
Vision measurement results, assembly records, and equipment information can be integrated into the SmartCore AI™ manufacturing platform to support process monitoring and quality traceability.
DS integrates industrial cameras, lighting, vision inspection, product identification, and process data management to inspect visual defects, component position, assembly status, and process results according to product and quality requirements.
Depending on project requirements, the system can use rule-based or AI vision algorithms and link product identification, inspection results, and process data to establish traceability across product, process, and quality records.
01
Detects scratches, cracks, appearance abnormalities, and other visible defects according to product characteristics and inspection requirements. Actual inspection items are defined by project conditions.
02
Inspects dispensing position, path, coverage, and completeness as input for dispensing-process quality evaluation.
03
Verifies component presence, position, orientation, and assembly status to reduce the risk of missing parts, incorrect assembly, and position errors.
04
Uses barcodes or QR codes for product identification and links them with work orders, process parameters, inspection results, and quality records.
05
Vision inspection results, product identification, process records, and quality data can be integrated into the SmartCore AI™ manufacturing platform to support quality traceability, anomaly analysis, and process management.
For products suitable for automation, DS evaluates connector positioning and insertion, cable routing and fixing, and related assembly processes based on product design.
Because flexible cables can vary significantly in shape, position, and deformation, product design, cable specifications, fixtures, assembly methods, and incoming-material presentation must be evaluated early to establish stable and repeatable automation conditions.
01
Evaluates trays, pallets, fixtures, or locating nests based on cable and connector orientation and gripping references to establish stable automated feeding conditions.
02
Integrates robots, dedicated grippers, fixtures, sensors, or vision systems for gripping, alignment, and insertion based on connector geometry, orientation, insertion position, and gripping references.
03
Evaluates automated cable positioning, routing, and fixing based on defined paths, guides, clips, and fixing points to reduce deviation, interference, and misalignment risks.
04
Sensors, vision systems, or equipment signals can be used to verify connector presence, position, orientation, and insertion status.
05
Error-proofing can be established using product identification, station sequence, recipes, and interlock conditions, while assembly results are linked with work orders, serial numbers, and quality data.
Cable and connector automation depends heavily on early Design for Automation planning.
In addition to standardized connectors, clear locating references, defined cable paths, and robot-friendly product structures, incoming orientation, arrangement, feeding methods, and gripping references should also be confirmed before equipment design to improve automation feasibility and process stability.
Continuous monitoring of equipment status, operating time, alarms, and process information supports maintenance and exception management, helping users understand equipment utilization, plan preventive maintenance, and reduce the risk of unplanned downtime.
01
Monitors operating, idle, abnormal, and alarm states in real time to provide information required for production equipment management.
02
Establishes maintenance reminders and records based on operating hours, usage counts, or predefined maintenance intervals to support maintenance planning.
03
Records and notifies equipment alarms, communication issues, and abnormal process conditions to help engineers quickly identify equipment issues.
04
Maintains preventive maintenance, repair, exception, and corrective-action records to establish equipment usage and maintenance history.
05
Equipment status, alarms, operating records, and maintenance information can be integrated into the SmartCore AI™ manufacturing platform to support equipment monitoring, anomaly analysis, and management traceability.
DS’s proprietary SmartCore AI™ manufacturing platform integrates production management, equipment information, process data, quality inspection, and product traceability according to project requirements, connecting automation equipment and manufacturing processes into a real-time, visualized, and traceable smart manufacturing environment.
An optional AI Manufacturing Intelligence Assistant can support engineers and managers with manufacturing information queries, cross-module data integration, anomaly analysis, and manufacturing knowledge access.
DS connects the SmartCore AI™ manufacturing platform, robots, and automation equipment across work orders, production preparation, assembly processes, quality inspection, and manufacturing traceability to establish a visualized, manageable, and traceable automated manufacturing flow.
SmartCore AI™ MES manages work orders, production plans, product information, and related manufacturing data.
Integrates precision dispensing, material bonding, controlled pressing, precision assembly, automatic fastening, and related assembly processes.
Performs appearance, position, assembly-status, and process-result verification according to product and process requirements.
Integrates equipment status, process information, production progress, and quality data to support manufacturing-process monitoring.
Links product serial numbers, process records, and inspection results to establish manufacturing history and support quality traceability and further analysis.
DS plans solutions from standalone workstations to complete automated assembly lines based on product, process, capacity, and quality requirements, and integrates SmartCore AI™ to establish a manufacturing data and quality traceability framework.