Costs are of course an important aspect of any process and the cost of implementation and use for an IDS NXT solution being relatively low means the return on investment can be very fast. If a human operative working on a quality assurance task can be re-assigned to another area where automation is not so applicable the ROI can be measured in months.
How important is it that industries such as agritech and food processing incorporate technology such as AI and edge processing?
We hear a lot of reports about access to labor becoming extremely challenging following the UK’s withdrawal from the EU and during the current Covid pandemic and even beyond these significant challenges the cost of labor is increasing so with low margin industries like agriculture and food processing automation can address these challenges. And whilst artificial intelligence is not applicable to every application the variable nature of products in these industries and challenging working environments clearly benefit from AI-based image processing and edge devices.
During the development of your IDS NXT cameras, what were some of the biggest challenges you came up against, and how were these overcome?