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Computer vision enables robots to see, read, and interpret the real-world environment.
By converting visual data from cameras and sensors into meaningful actions, robots can autonomously navigate, identify objects, manipulate materials, and perform complex tasks across industries.
Often referred to as machine vision, this technology plays a central role in automation, enhancing manufacturing accuracy and enabling robots to work in environments that are too dangerous or inaccessible for humans.



Computer vision can assess welding quality by analyzing heat distribution. Computer vision enables them to perform precise tasks, such as picking irregularly shaped items from containers using 3D depth sensors. Collaborative robots (cobots) use cameras to detect nearby workers and adjust their movements to avoid collisions

How It Works

Data Capture

High-quality cameras and sensors continuously record images and video.

Processing & Analysis

Machine learning algorithms interpret the visual data.

Decision & Action
Robots translate insights into movements: navigation, quality checks, object manipulation.
Feedback & Optimization
Vision AI refines accuracy over time for better performance.
  • Increased Efficiency & Accuracy
    Robots with vision can handle repetitive tasks — such as product quality inspection — with speed and precision, reducing errors to near zero.
  • Enhanced Safety
    Vision-enabled robots take over in hazardous workplaces (mining, energy, chemical plants), reducing human exposure to risk.
  • Cost Savings
    Consistent, precise automation lowers production costs, reduces waste, and minimizes the need for manual labor in repetitive processes.
  • Flexibility & Scalability
    With advanced software and hardware, vision systems adapt quickly to new tasks, accelerating production and reducing development time.
With advanced ABB vision systems, Quant Robotics provides powerful yet easy-to-use solutions for robotic control and inspection. Our vision AI platforms are designed for diverse industrial applications, ensuring:

✔ Faster time to deployment
✔ Increased system flexibility
✔ Higher production speed
✔Seamless integration with existing workflows

Applications of Computer Vision in Robotics

  • Assembly Line Automation – Robotic arms guided by vision systems increase productivity in automotive and electronics manufacturing.

  • Object Recognition & Sorting – Real-time detection and classification of parts and materials.
  • Industrial Quality Control – Inspection of dimensions, tolerances, surface defects, and product conformity.
  • Navigation & Guidance – Autonomous robots navigate dynamic environments with obstacle detection.
  • Hazardous Environments – Robots deployed in mining, power plants, and other high-risk sectors.