• Embracing the future of Green Tech: The power of intelligent cameras

Environmental Laboratory

Embracing the future of Green Tech: The power of intelligent cameras

Apr 11 2023

The combination of Artificial Intelligence (AI) and industrial cameras is transforming a variety of markets. This also includes environmental technology. It not only optimises processes in companies, making processes more efficient, but also supports efforts towards a more sustainable future. Smart cameras can therefore be seen as a paradigm shift for monitoring and managing environmental data.

AI-driven cameras offer unprecedented levels of accuracy, speed and reliability. By automating tasks such as data collection, analysis and reporting, these cameras significantly reduce human error and increase overall efficiency. This allows scientists and engineers to focus on interpreting data and developing strategies.

Environmental monitoring based on Deep Learning

Intelligent cameras can handle a wide range of samples and conditions. They ensure accurate processing and categorisation in tasks such as monitoring and data management. This flexibility is critical for environmental management, where different types of data and complex scenarios are the norm. Therefore, they will be critical in controlling systems to automate important tasks like pollution monitoring or habitat assessment.

However, how do companies take their first steps with the new technology? After all, many businesses lack expertise and time to familiarise themselves with the field of AI and its use for their needs. Here comes IDS NXT into play. As an all-in-one system of intelligent industrial cameras and software, IDS NXT covers the entire process of creating and running AI vision applications. Users do not need any special knowledge in Deep Learning or camera programming.

Harness the power of the AI Vision System IDS NXT

Thanks to the latest software update, IDS NXT cameras became able to detect anomalies, even if deviations are not previously known or hardly predictable. It is possible to use only "GOOD" images for the training of the neural network that later runs directly on the camera. In addition, only a small amount of training data is required compared to other AI methods. This makes it particularly easy and convenient to evaluate the potential of AI-based image processing. The combination of ease of use and powerful vision system helps companies and organisations to implement the possibilities of new vision technology and keep their competitive edge. Click here to learn more about the user-friendly AI vision system.

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