Ellips & Elisam Utilize Deep Learning to Take Fruit Grading Technology to the Next Level
Not only has this system improved the defect grading capabilities, also the capacity of the machine increased significantly. The Elisam GranTorino sorting machine could now easily process 1000 kg/h per lane.
Some Deep Learnings from Applying Deep Learning
To build a robust deep learning model, it can be much more than training or fine tuning some existing models (e.g. inception v3, resnet, LSTM, etc.) with your own dataset. These winning models are your best friend and can usually serve as base models.
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Particularly small and cost-effective: Market launch of the uEye XLS cameras
Image processing opens up a wide range of possibilities for the automation of modern agriculture - but what to do when only a small budget is available? That is where the uEye XLS comes in. With the launch of these super-small industrial cameras, even price-sensitive applications and volume projects become feasible. Measuring just 29 x 29 x 7 mm, the compact cameras offer excellent imaging characteristics without excessive heat generation, making them a perfect fit for embedded vision applications in agricultural machinery and equipment. The industrial cameras comply with the vision standard and are available with Micro-B connectors and with or without C/CS or S-mount lens holders, further increasing their adaptability to different agricultural environments. Thanks to these features, the cameras offered by IDS Imaging Development Systems lower the barriers to entry and make it easier to explore the potential of vision technology to optimize agricultural processes.
