GenFeA: Lowering Barriers to Machine Vision Integration

From the perspective of using existing machine vision products, the biggest obstacle when studying embedded vision or trying to commercialize it is that the communication with the camera is not standardized or unified. (Machine vision cameras store the description file in XML format on the camera and download it to the application for use.) The EMVA's GenIcam group is working on GenFeA as a new task. Although manufacturers still need to create drivers for host devices compatible with the cameras, it would be convenient for users if they could use a common code like the GenTL interface without having to familiarize themselves with or modify the SDKs provided by different manufacturers. In a situation where the need and demand for embedded vision are increasing, manufacturers now have a good option. However, it remains uncertain whether there will be companies/products that actually apply GenFeA in a way that users can feel. Most embedded vision cameras released by machine vision companies are already wrapped to be used directly with the GenICam method, so the goal of locking users into their own SDKs has already been achieved. Will they quickly consider applying GenFeA for the limited demand? However, looking back at how the European/North American industry, which values standardization and scalability, rapidly commercialized GenTL within ten years, it is likely just a matter of time before GenFeA takes hold.