Die casting support has also begun! The high-definition color camera and unique learning function suppress missed abnormalities and false detections. Drop defects, pin breaks, inserts, shorts.
GROW-V is a mold monitoring device that detects abnormalities in molds and stops clamping. It has achieved "safety, simplicity, and hands-off" through an AI algorithm specialized for mold monitoring. 【Use Cases】 - Introduced as a preventive measure due to delays in delivery and quality issues caused by mold damage. - Implemented because existing monitoring devices frequently experienced temporary stops and missed detections due to changes in light sources and other factors. - Adopted with an emphasis on ease of setup due to a lack of personnel knowledgeable about the equipment. 【Explanation Video】 https://a-robo.com/grow-v/ *Free demos are currently available! Please feel free to contact us.
Inquire About This Product
basic information
【Other Published Content】 ■Equipment and Specifications ■Company Overview *For more details, please refer to the PDF document or feel free to contact us.
Price range
Delivery Time
Applications/Examples of results
For more details, please refer to the PDF document or feel free to contact us.
catalog（1）
Download All Catalogs
Company information
Our company develops automation systems for the manufacturing industry. Utilizing AI and robotics technology, we provide cutting-edge solutions. Based on our extensive experience and expertise in software development, mechanical design of jigs and automated machines, and electrical circuit design, we cater to a wide range of customer needs.
![AI Mold Monitoring System GROW-V [Video of Actual Operation Released!]](https://image.mono.ipros.com/public/product/image/1f5/2000861502/IPROS49636534947584946313.png?w=280&h=280)
![[First Step to CN] Easy Version Simple Power Measurement Package [C-BOX]](https://image.mono.ipros.com/public/product/image/0e0/2000794960/IPROS08666207398633567987.png?w=280&h=280)
![[For the pharmaceutical manufacturing industry] Digitizing entry management in oxygen-deficient hazardous work.](https://image.mono.ipros.com/public/product/image/20a/2001525768/IPROS14827379347403299223.jpg?w=280&h=280)
![[For the food manufacturing and beverage manufacturing industry] Digitizing the management of oxygen deficiency hazard work in tank entry.](https://image.mono.ipros.com/public/product/image/bf8/2001525769/IPROS12773363766147418267.jpg?w=280&h=280)
