How intelligent cameras increase the efficiency of diagnostics and laboratory
The integration of artificial intelligence (AI) and smart cameras is rapidly transforming various industries, including the medical sector. This advanced technology is increasing the efficiency and effectiveness of medical processes, leading to better patient outcomes and optimised workflows. One area where these innovations are having a substantial impact is laboratory automation. However, it does not stop there. Read why healthcare providers need to look into the new technology to keep their competitive edge.
Smart cameras represent a turning point in laboratory automation, offering unprecedented levels of accuracy, speed, and reliability. By automating tasks such as sample sorting, analysis and inspection, these cameras can significantly reduce the risk of human error and increase overall laboratory efficiency. This allows lab technicians and researchers to focus on more complex tasks and interpreting data, ultimately leading to faster discoveries and treatment.
Revolutionising laboratory automation with Deep Learning
In addition, AI-driven cameras can already handle a wide range of samples and conditions, ensuring that even very different types are processed and categorised correctly. This flexibility is critical for labs working with diverse biological materials and complex experiments.
Similarly, intelligent cameras will be of great importance in the development and operation of medical robotics – for example, by enabling robots to "see", understand, and adaptively respond to their environment. In the future, AI-controlled industrial cameras could guide surgical robots to make precise cuts and sutures, improving the overall quality of surgical procedures.
Take the leap: the power of the AI Vision System IDS NXT
However, how do companies take their first steps with the new technology? After all, many companies lack expertise and time to familiarise themselves with the field of AI and its use for their needs. The AI vision system IDS NXT is designed to help with this, as it can be operated quickly and easily by any user group – even without in-depth knowledge of machine learning, image processing or application programming. It therefore offers an excellent basis for the intelligent use of image processing.
The all-in-one system consists of intelligent industrial cameras plus software environment, which covers the entire process from creating to running AI vision applications. In addition to its user-friendly workflows and holistic design, expert tools enable open- platform programming, making IDS NXT cameras highly customisable and suitable for a wide range of applications.
Thanks to the latest software update, these intelligent cameras are now able to detect anomalies independently and thereby optimise e.g., quality assurance processes. For this purpose, users train a neural network that is then executed on the programmable cameras. To achieve this, IDS Imaging Development Systems offers the AI Vision Studio IDS NXT lighthouse, which is characterised by easy-to-use workflows and seamless integration into the IDS NXT ecosystem. Customers can even use only "GOOD" images for training. This means that relatively little training data is required compared to the other AI methods Object Detection and Classification. This simplifies the development of an AI vision application and is well suited for evaluating the potential of AI- based image processing for projects in the company.
By adopting artificial intelligence, healthcare providers can stay ahead of the curve and ensure they are well equipped to meet the challenges of an increasingly digital and connected healthcare environment. Smart cameras will continue to play a critical role in shaping medicine and providing more accurate, efficient, and personalised care to patients worldwide.
Do not wait to explore the possibilities of AI and intelligent cameras in medical applications and lab automation. Click here to learn more about the AI vision system IDS NXT and how it can help you stay ahead in the ever-evolving world of healthcare.