A viable alternative to host-based vision systems is offered to the end users and systems integrators by smart cameras incorporating I/O capability, an image sensor, CPU, and FPGA into a single unit.
This kind of all in one vision system include the advantages of easier integration, lower cost, the capacity to satisfy a wide range of application needs.
Smart cameras with camera remote can operate in harsh industrial environments, guide robots, find surface defects, and verify assemblies.
Many factors must be balanced and met by a smart camera.
- Within the cycle time of your process adequate ability to solve your machine vision task must be present in a smart camera with Pluto trigger. Due to computationally demanding algorithms and large data sets a large amount of computation is demanded by machine vision tasks.
- You need a small smart camera. Small size makes it easy to retrofit into existing processes and to fit in tight spaces. Small size and weight are also important. When the camera is mounted on a moving platform, such as a robot arm size limits a smart camera’s heat dissipation and so computational ability can be limited.
- To withstand the environment it is used in the camera with Pluto valve must be designed. Electrical noise, dust, splash from wash down, vibration, and temperature range could be included in this. For dust, liquids, etc. a smart camera should meet Ingress Protection Rating codes. For your environment connectors and cables should also be rated.
- But know how to program the smart camera to do your task and you will need some basic machine vision skills until you have very smart cameras with smart camera remote. That’s why the knowledge you need should be minimized by smart camera software and programming should be made as easy as possible.
The crucial elements for your success are the built-in machine vision knowledge and the software framework for setting up the smart camera.