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Component inspection
The IUNA AI Box Pro enables fully automated quality assurance of products of various types.
Component inspection
The IUNA AI Box Pro covers the following use cases: • Quality assurance of components • Inspection of larger surfaces • Verification of presence / absence of multiple components • Object- person tracking over small and medium sized areas • Monitoring of inventory in small and medium sized warehouses
References:
The IUNA AI Box Pro is used at Audi AG to inspect painted body parts.
Price description:
After individual consultation of your application case you will receive an offer from us. The IUNA AI Box Pro ranges in price from 20,000-100,000 Euros depending on the application and specification. The AI Box Pro supports a variety of common interfaces and can be easily integrated into existing manufacturing processes. Installation and commissioning are included in the price.
Price: from 20000 € on request
#automation #inspection #qualityassurance
Automated component recognition for customer service, after sales and logistics automation
Digitize spare parts management and identify required spare parts for reordering and qualified service requests in customer service
Automated component recognition for customer service, after sales and logistics automation
Troubleshooting, spare parts management and troubleshooting are done manually? The AI-based application from DATAbility offers automation! Product catalogs with image and/or design models (CAD) can be easily used to determine spare parts. Interfaces to customer service accelerate processes, make after-sales and field service more efficient, and reduce downtime.
References:
Winning solution of the Product Booster state accelerator Up2B as well as successful cooperation with industry partners such as Scheidt & Bachmann and Hübner
Price description:
Package prices based on usage, detection portfolio and integration depth, available as SaaS or on-premises/white-label solution, e.g. as retrofit module for existing CSM tools such as ServiceNow. Furthermore, identification dashboards as well as connections to predictive maintenance and prognostics and health management services of DATAbility are expandable.
Price: on request
#customerservice #objectidentification #processautomation
Unique Level Product Traceability in Production (Natural Fingerprint)
We enable unique levels of traceability of components by using AI and Image processing technologies from the product surface.
Unique Level Product Traceability in Production (Natural Fingerprint)
Context Unique traceability of individual parts is essential for transparency in production. Conventional technologies are not effective on small or rush product surfaces, needing high investment, increasing cycle time, and creating extra complexity on the product surface. Advantages: Applicable to very small / rush environments No big effect on the cycle time (<1 sec) Low capital investment required No additional complexity on the product Enabler for Anti-Counterfeiting-Use-Cases Applicable to different kind of surfaces, such as metal, leather, plastic etc.
References:
Automotive component manufacturers
Price description:
Software license and Maintenance Camera, lens, industrial PC can be chosen according to usecase
Price: on request
#artificleintelligence #production #traceability
Finding Foreign Particles in Groove
A foreign body is found in a groove using artificial intelligence.
Finding Foreign Particles in Groove
The foreign body is located in a groove that cannot be seen without tools. A complex mirror / lighting system can be used to look into the groove. Since the foreign body can hardly be distinguished from the background, the artificial intelligence developed by RH is used here. In this way, the foreign body can be detected and discharged.
Price: on request
#artificialintelligence #kuenstlicheIntelligenz #ocr
Application Reference for Deep-Learning OCR Delivery Note Capturing
ID - 2D PC based camera system Product: Deep Learning OCR Scan-Table
Application Reference for Deep-Learning OCR Delivery Note Capturing
The high throughput of incoming goods requires an automatic capture of delivery bills and packing lists. Due to the different fonts and delivery note types/formats a flexible and process reliable system is required. New delivery bills can be quickly taught to the deep learning algorithm. After the scan, an automatic comparison with the ERP system takes place.
References:
More than 30,000 production-safe systems installed worldwide in over 30 countries, in 840 cities at over 600 customers.
Price: on request
#AutomatischeLieferscheinerfassung #logistik #ocr
AI.SEE™ – Automated cavity detection in production with artificial intelligence
AI.SEE™️ is a visual quality control and defect detection system for manufacturers based on artificial intelligence.
AI.SEE™ – Automated cavity detection in production with artificial intelligence
AI.SEE™️ enables producers to perform a complete, non-destructive and cost-effective inspection of cavity-sensitive parts through AI to ensure reliable cavity detection along with a significant increase in quality. Deep-learning algorithms detect even the smallest defects on heterogenous or reflective surfaces that humans often overlook and deliver potent insights while reducing breakdown times.
References:
Our customer base consists of companies from various industries, e.g. automotive, healthcare, food & beverage and energy.
Price description:
Please feel free to contact us for any additional info.
Price: on request
#Bildverarbeitung #deeplearning #industrie40
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