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Solve Complex Enterprise Challenges With AI

Computer Vision AI Automation

At Robovision, we developed a computer vision AI platform to drive smart automation. Adding vision intelligence to machines creates a dramatic shift for industries, setting new standards for quality, efficiency, and productivity. Machine builders and their customers use the Robovision platform for demanding applications with high variability to realize better outcomes and consistent results.

What is Computer Vision AI?

Deep learning algorithms form the backbone of computer vision AI systems that learn and adapt to change. By adding a layer of vision intelligence, machines can process, analyze and interpret the visual world, much like humans. Through the Robovision AI platform, machines improve their performance over time and can carry out complex tasks such as:

✓ Classification

✓ Sorting

✓ Segmentation

✓ Object detection

✓ Anomaly detection

✓ 3D-handling

Computer vision AI systems extract information from images. Visual data can be derived from source material, such as medical scanning devices, live video sequences, 2D images, or multi-dimensional data created with 3D technologies.

Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) is everywhere: it writes emails, pilots cars and generates amazing art. While the term refers to machines simulating human intelligence, the label is broad and covers many subfields. One of those is Machine Learning, which involves training computers to learn from data and make predictions or decisions without needing explicit programming.

Traditional Computer Vision versus Computer Vision AI

Computer Vision systems can process and interpret visual data–images and videos–like humans do. Before the 2010s, Computer Vision applications relied on manual coding; data scientists determined every step of the process, this form of Computer Vision is neither intelligent nor dynamic.

With the rise of deep learning–an AI subfield with algorithms inspired by brain structure and functions–a new, more dynamic type of Computer Vision was born: one that makes it possible to generate algorithms with self-learning capabilities. 

 

What does Computer Vision AI automation enable?

Computer vision AI goes beyond simply programming computers to follow instructions. Systems powered with Robovision’s computer vision AI software not only optimize as they learn, but also adapt to frequently changing requirements stemming from product variations, different sizing or new quality standards. All are crucial to industries needing mass customization, fast time-to-market, or stringent quality control

Computer Vision AI: Trends and Challenges

Complex enterprise challenges—think the labor shortage and the reshoring trend in manufacturing, safety compliance in high-risk environments, or even limiting human error—can all be solved with computer vision AI automation. Computer vision algorithms can even analyze visual data with precision surpassing human capability. Accuracy and reliability are enhanced, product quality remains high and waste is reduced. Not to mention the boost in customer satisfaction.

Success Stories
Client Niko Group
Industry Manufacturing
Robovision's AI platform was integrated into Niko’s injection molding process.
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Client AOI PCB
Industry Manufacturing
Robovision's AI platform helps AOI machine builders industrialize customization.
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Client Peripass
Industry Logistics
Realtime AI-based tracking system localizes trailers anywhere in a yard.
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Client National Institutes of Health (USA)
Industry Healthcare
AI application makes it easier for radiologists to identify specific organs and detect anomalies.
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Client ISO Horti Innovators
Industry Agriculture
Robovision developed advanced agricultural robotics together with automation partners.
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Client QING
Industry Computer Vision AI Automation
System integration partner QING used Robovision's AI platform to automate its customer's quality control.
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