Seeing Beyond Limits: Revolutionising Robotics with 2D Vision Systems

The world of robotics has always fascinated people, as it has the potential to automate tasks, increase productivity, and change industries. One important development in robotics is the use of vision systems, which help robots understand and interpret what is happening around them. In recent times, a specific type of vision system called a camera vision system has become very important. These camera vision systems have made a significant impact on robotics. In this article, we will explore the many advantages of 2D vision systems, explain how to choose the right one, and highlight some of the best providers in the field.

2D vision systems provide robots with the ability to "see" their environment, enabling them to navigate, manipulate objects, and interact with humans more efficiently. These systems capture visual information using industrial vision systems, which consist of cameras that take two-dimensional pictures of the surroundings. The captured images are then analysed and interpreted using sophisticated algorithms. By processing this visual information, the robots gain a greater level of perception, enhancing their decision-making capabilities.

Unlike 3D vision systems that can perceive depth, 2D vision systems, based on industrial vision systems, focus on capturing detailed information in two dimensions. This makes them particularly suitable for tasks that do not require accurate depth measurement. The processed visual information allows robots equipped with 2D vision systems, utilising industrial vision systems, to develop a better understanding of their surroundings, leading to improved decision-making and more effective interaction with the environment.

Market Statistics: The market for 2D and 3D machine vision systems has been experiencing significant growth. In 2020, the market was valued at USD 11.14 billion, and it is projected to reach USD 23.5 billion by 2026, with a compound annual growth rate (CAGR) of 13.32% during the forecast period from 2021 to 2026 (Mordor Intelligence, 2023). These statistics indicate a strong upward trend and highlight the increasing adoption and significance of machine vision systems in various industries.

Application in Industries: Machine vision systems have found extensive application in diverse industries. One notable sector is the food and beverage industry, where these systems play a crucial role in ensuring product quality, safety, and compliance. They are utilised for tasks such as food inspection, quality control, and assembly control, enabling efficient and accurate processes. The growing safety culture and government regulations in the food and beverage sector have contributed to the demand for machine vision systems.

Regional Importance: North America has emerged as a substantial market for machine vision systems. The region has been an early adopter of this technology, particularly in industries such as manufacturing and healthcare. The implementation of machine vision systems in manufacturing enhances quality control, process optimisation, and automation. In healthcare, these systems assist in medical imaging, diagnostics, and surgical procedures. The North American market's growth and prominence further demonstrate the value and benefits offered by machine vision systems in various sectors.

Cost-Effectiveness: 2D vision systems are generally more affordable compared to 3D vision systems, making them accessible to a wider range of industries and applications. Their cost-effectiveness doesn't compromise their efficiency, as they excel in tasks that don't require extensive depth perception.

Speed and Accuracy: With advancements in camera technology and image processing algorithms, 2D vision systems offer high-speed and accurate object recognition and tracking capabilities. This enables robots to perform tasks with precision and efficiency, reducing errors and improving overall productivity.

Flexibility: Due to their simplified hardware requirements, 2D vision systems can be easily integrated into existing robotic setups. Their versatility allows them to adapt to various environments and applications, from manufacturing and logistics to healthcare and service industries.

Human-Robot Interaction: 2D vision systems play a crucial role in enabling robots to interact with humans safely and seamlessly. These systems allow robots to detect and track human movements, enhancing collaborative tasks and ensuring the safety of human operators in shared workspaces.

When choosing a 2D vision system for a robotic application, several factors should be considered:

Resolution and Image Quality: A higher resolution ensures clearer images, leading to better object recognition and tracking. Consider the specific requirements of your application and choose a system with an appropriate resolution.

Speed and Processing Power: The processing speed of the vision system is crucial for real-time applications. Ensure that the system can handle the computational demands of your intended tasks.

Compatibility and Integration: Look for a vision system that is compatible with your existing robotic platform or can be easily integrated into your setup. Consider factors such as software compatibility, communication protocols, and the availability of development tools.

Reliability and Support: Choose a reputable provider that offers reliable hardware and software solutions. Look for good customer support, documentation, and a strong track record in the robotics industry.

Cognex: Cognex is a leading provider of machine vision systems, offering a wide range of 2D vision solutions for robotics applications. Their systems are known for their high accuracy, speed, and ease of integration.


Basler: Basler specialises in high-quality industrial cameras and vision systems. They provide robust and reliable 2D vision solutions that cater to various industries, including robotics.


Teledyne DALSA: Teledyne DALSA offers a comprehensive portfolio of machine vision products, including 2D vision systems. Their solutions are designed for demanding industrial applications and provide exceptional performance and flexibility.

FLIR Systems: FLIR Systems is renowned for its thermal imaging technologies, but they also offer 2D vision solutions. Their systems combine visible light and thermal imaging capabilities, expanding the range of applications for robotic vision.


Keyence: Keyence is a prominent provider of machine vision systems, known for their innovative approach and cutting-edge technologies. They offer a diverse range of 2D vision solutions specifically designed for robotics applications.

In conclusion, the integration of 2D vision systems in robotics has revolutionised industries by providing machines with enhanced perception and decision-making capabilities. These systems offer cost-effectiveness, speed, accuracy, flexibility, and improved human-robot interaction. The growing market for machine vision systems reflects their increasing adoption and significance across various sectors.

When selecting a 2D vision system, considerations such as resolution, processing power, compatibility, and reliability are vital. By carefully evaluating these factors, businesses can choose a system that suits their specific requirements and seamlessly integrates into their existing setups. The continuous advancements in 2D vision technology hold immense potential for further automation and productivity enhancements in industries worldwide.

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