Machine vision is used in a variety of ways in different sciences, each of which requires the selection of different devices.
While you know what you expect from your camera, you may not know what should be the best choice for the system.
There are thousands of different options to choose from, which makes it difficult.
Here, we’ll teach you how to choose the right camera for your system
- Economic Needs: In which cases can the camera overcome the barriers to profitability? Does it help to increase production capacity or help to produce more? Understanding these two issues will help you limit additional costs.
- Camera size: Does the camera need to work in a compact and small space? Do you need to connect to other systems? Your options are now limited to where the camera is located.
- Inspection Environment: Is the camera exposed to heat, vibration or light changes? You may be limited by camera type and environmental factors.
- Lifecycle: How much is your project life cycle? This is very important for applications that require FDA approval. Determine the cycle of the project to ensure the stability of the results.
- Who is your source of supply? Given the fact that your system may be customized, you need a reliable supplier. They also need to provide regular services to improve the life of the camera, more importantly, the provider is financially sustainable, otherwise you will lose the ability to repair, maintain or replace your camera.
Choosing a camera for scientific applications can be difficult. There are many choices and you can choose the best of them with the knowledge of the top five.