Artintech Intelligent Robotic Operator

AI Visual Inspection & Sorting

AIROPax™, The future of operations!

AIROPax™ is a multi-functional intelligent robotic system where unlike traditional industrial robots, has the capability of intelligently dealing with operational tasks.

Artintech’s Intelligent Robotic Operator is a unique solution to a variety of your operational issues. Without any major modification to your production line, this system helps you with Real-Time production line monitoring and control.

Using Image Processing and highly compatible IoT solutions, AIROPax™ reduces human errors and labor workload and increases the work safety and production speed.

Explore Artintech's AIROPax™ Intelligent Operator

Real-Time Visual Monitoring

Using advanced image processing and machine learning techniques, our AIROPax™ system will be your extra eyes on production line with intelligent analysis of data gathered from reporting.

Intelligent Sorting

The Robotic module of AIROPax™ connected to it's image processing and AI brain can manage sorting job in your production line.

Management Dashboard

The results of analysis will travel through our secure IoT channels and will appear right on your management dashboard. It adds clarity and control to your operations and decision making processes.

Progressive Learning

AIROPax™ is a dynamic live system. It keeps learning as new challenges arise. The intelligent processor gives you the flexibility of mitigating unlimited number of challenges even if in some cases these issues are not predefined!

Custom Visual Quality Checks

Artificial intelligent used in this system will allow for visual identification of defects and issues with high precision.

Use cases

AI Visual Inspection + Recycling

Humans are incredible machines at sorting recyclable materials. Their eyes see colour and their brain can process all these images, and learn to recognize objects. The problem with human sorters is they are expensive and unpredictable. They’re vulnerable to frustration, fatigue, illness, distraction, intoxication, boredom, and carelessness. Because of this, companies in the recycling industry are relying more on the use of artificial intelligence and robotics to sort plastic and other recyclable items, so humans don’t have to. Artificial intelligence visual inspection is inexpensive, precise, reliable, and provides faster information analysis than human eyes. It also reduces the health risks associated with human labour.

AI Visual Inspection + Dimensions

Some industrial and agricultural products are graded based on their dimensions and quality. The grade is then used to sort them and distribute them across various sales channels. Higher grade and bigger products usually generate more revenue.

Grading was traditionally a human-driven process. As time went on, machines were developed to differentiate products based on their dimensions and weight. These devices remain in use today as reliable grading and sorting methods. As image processing algorithms developed in recent years, AI visual inspection techniques began to improve the process. These techniques have often been tuned manually and replaced the human eye, enabling them to detect significant defects which are difficult for humans to detect at faster speeds. A new generation of intelligent algorithms for sorting and grading is more accurate and capable than traditional visual analysis algorithms. This is because they can learn by themselves, resulting in detection rates that exceed what any trained expert could achieve.

Visual Inspection + Defect Detection

Defining a defect using artificial intelligence is a further development of machine vision inspection solutions. It uses deep learning technology to capture and process images, just like the human eye. The system learns from experience, recognizes characteristics and anomalies, and differentiates between them. Human visual inspection is fault prone due to its repetitive nature. The advantages of AI-based systems are their accuracy and reliability. Ultimately, defect reduction, improved production, and positive results lead to quicker delivery to consumers, increased satisfaction, and increased profitability.

Use Cases:

  • Simultaneously inspect dozens of individual components to detect missing, misplaced, or damaged components, screws, springs, and soldering issues.
  • Inspect welded seams for anomalies at the most critical structural joints.
  • Inspect products for defects and contaminations, colour & shape checks, controlling glass or plastic tubes for cleanliness and rejecting the scratched pieces.
  • Inspect pharmaceuticals; rejecting defective and unfilled capsules or tablets or the filling level of bottles, checking the integrity of items; or surface imperfections of medical devices.
  • Detect and locate defects or die cracks.

AI + Visual Data

With the volume of data in supply chains and logistics increasing daily, the demand for more leading-edge processing solutions is becoming more crucial.  Many companies are implementing AI computing techniques; Machine learning, deep learning and natural language processing. These techniques make it simple to examine large volumes of data efficiently, to deliver a sophisticated analysis and execute many other complex tasks.

Supply chain and logistics companies generate and can utilize a lot of data. AI requires extensive volumes of data to show its full power. With new types of data surfacing in the past several years, along with a progressive pace of data creation, AI is finally provided with enough to work to its fullest potential.


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