Last Updated： Aggregation Period:Feb 25, 2026～Mar 24, 2026
This ranking is based on the number of page views on our site.
Last Updated： Aggregation Period:Feb 25, 2026～Mar 24, 2026
This ranking is based on the number of page views on our site.
Last Updated： Aggregation Period:Feb 25, 2026～Mar 24, 2026
This ranking is based on the number of page views on our site.
1～9 item / All 9 items
![[Development Case] AI Deep Learning Robot Vision](https://image.mono.ipros.com/public/product/image/17e/2000894138/IPROS05237995644741244561.png?w=280&h=280)
Robot vision made easy with AI deep learning (deep learning)!
Various advantages of robot vision through AI deep learning (deep learning) 1) Basically, just train the images 2) Can grasp irregular and amorphous shapes 3) No need for precise lighting at all *For more details, please refer to the catalog PDF or feel free to contact us.
![[Information] Proposal for Small DX and ABC Approach Starting with Open Source](https://image.mono.ipros.com/public/product/image/071/2000805027/IPROS86257964994207373782.png?w=280&h=280)
Utilize insights from POC demonstrations! Proposals for automation systems and process improvements that can start on a relatively small scale.
This document introduces some of the digital transformation (DX) initiatives being undertaken by GRIPS Corporation. It includes topics such as "Challenges in DX," "Approaches to DX," and examples of "System Construction Cases" like simple robot vision systems. Additionally, our company is actively engaged in new fields beyond what is presented, including AMR, 3D scanners/printers, image processing, depth synthesis technology, and remote control systems. If you are interested in starting DX on a small and cost-effective scale, please feel free to contact us. [Contents] ■ Overview of GRIPS Corporation's business and activities ■ Challenges in DX based on past experiences ■ GRIPS' proposed approaches to DX ■ Examples of system construction ■ Contact information *For more details, please refer to the PDF document or feel free to contact us.
Identify and classify mixed items in 3D! Simultaneous appearance inspection during picking.
Our company can automate the sorting of workpieces using AI vision. We can detect, locate, and classify multiple types of workpieces mixed together on a single container or conveyor without prior sorting. During the picking operation, we check for the presence, orientation, and quality of the workpieces, sorting good and defective items on the spot. We can handle variations in shape and disorganized conditions, replacing manual sorting tasks. We will ensure the automation of sorting tasks that were previously done by hand. 【Features】 ■ Set up in half a day and start picking immediately ■ Changes in processes and workpieces can be completed on-site ■ Compatible with major robots and PLCs *For more details, please download the PDF or feel free to contact us.
![[Automation Example] Teachless Picking](https://image.mono.ipros.com/public/product/image/2117343/IPROS17440578251119864734.jpg?w=280&h=280)
Solving the challenges of accommodating diverse products and a wide variety of SKUs! Demonstrating the automation of piece picking.
We would like to introduce an automation case utilizing the "Eureka AI Vision System" at Bridgestone Soft Robotics. In e-commerce, it is unpredictable what kind of orders will come in, and dealing with a variety of products and a wide range of SKUs has been a challenge. Additionally, conventional 3D vision systems have difficulty recognizing glossy and transparent objects. With the introduction of this system, it has become possible to pick objects without the need for prior data registration or learning. The system automatically selects suction pads and claws according to the characteristics of the objects, achieving high reliability and fast processing. 【Case Overview】 ■ Challenges - Responding to diverse products: size, type, shape - A wide variety of SKUs: unpredictable orders in e-commerce - Objects that are difficult to recognize with conventional 3D vision systems: glossy, thin, transparent/semi-transparent ■ Results - Demonstrated automation of piece picking - Automatically selected appropriate gripping methods - Achieved high reliability and fast processing *For more details, please download the PDF or feel free to contact us.
High-speed and reproducible part detection capability! A robust program to minimize production downtime.
The "List Camera" is a vision system for universal robots that can be easily operated at any skill level. It allows programming, editing, and operation via a teach pendant, and accelerates changes with a visual offset feature. It can be used for various applications such as pick and place, machine tending, quality inspection, and assembly. 【Features】 ■ Programming, editing, and operation via teach pendant ■ Accelerated changes with visual offset feature ■ Easy to operate at any skill level ■ High-speed and reproducible part detection capability *For more details, please refer to the PDF document or feel free to contact us at v.li@robotiq.com.
Achieving reliable picking from containers and trays through the use of AI vision!
Our company can automate the loading and unloading of workpieces using AI vision. It can detect and locate workpieces in bulk state, eliminating the need for high-precision jigs or pre-alignment. The robot guides the workpieces into the correct position when loading into CNC machines, lathes, and presses, reducing the risk of jams, interference, collisions, and defects caused by positional misalignment. It corrects for part tolerances, tray positional deviations, and jig variations, achieving stable operation unaffected by changing conditions. It accommodates variations in workpieces without the need for re-teaching. 【Features】 ■ Set up in half a day and start picking immediately ■ Process and work changes can be completed on-site ■ Compatible with major robots and PLCs *For more details, please download the PDF or feel free to contact us.
Reduce clamping, damage, and rework with sub-millimeter precision positioning!
Our company can automate assembly tasks using AI vision. We detect the workpiece in 3D and automatically align it to the correct position and orientation before insertion. It is robust against variations in workpieces and jigs, achieving stable assembly. For the workpieces after placement, we automatically check for presence, orientation, and correct seating status, detecting issues early to prevent impacts on subsequent processes. 【Features】 ■ Set up in half a day and start picking immediately ■ Changes in processes or workpieces can be completed on-site ■ Compatible with major robots and PLCs *For more details, please download the PDF or feel free to contact us.
![[Automation Example] Picking and Inspection of Side Mirror Covers](https://image.mono.ipros.com/public/product/image/2117343/IPROS1585412153055650283.jpg?w=280&h=280)
Resolving the limitations of manual inspection and overlooking minor defects! Achieving stable inspection accuracy.
We would like to introduce an example of the automation of picking and inspection of side mirror covers at our company. The rising labor costs, the enormous time required for inspection, and the challenge of automating cases where the position and orientation of the workpieces vary were significant issues. The accuracy depended on the experience and condition of the operators, making it difficult to visually detect minute scratches and dents. After implementation, we were able to automatically identify fine scratches and dents with high precision. We have seamlessly integrated the entire workflow from bulk picking to visual inspection, enhancing quality assurance. [Challenges] ■ Limitations of manual inspection: Inspection accuracy depends on the experience and condition of the operators ■ Overlooking minor defects: It is difficult to visually detect minute scratches and dents ■ Challenges with cost and productivity: Rising labor costs and the enormous time required for inspection ■ Responding to bulk picking: Automation is difficult when the position and orientation of the workpieces vary *For more details, please download the PDF or feel free to contact us.
