Boost Crop Monitoring with See3CAM_CU83, a New RGB-IR Camera
Boost crop monitoring with e-con Systems' See3CAM_CU83 RGB-IR camera. Capture visible and NIR light for early stress detection, NDVI mapping, and improved crop health, offering cost-effective, real-time insights.
What Causes Blooming Artifacts in Microscopic Imaging and How to Prevent Them
Advanced camera technologies are used with microscopes for diagnostics in the medical and life sciences industry. The occurrence of different types of imaging artifacts is a major challenge faced in microscopic imaging.
Optical Zoom vs. Digital Zoom: See What Best Suits Your Embedded Vision Application
There are two major approaches to camera-related magnification - optical zoom and digital zoom. One relies on manual adjustments while the other leverages software algorithms. Explore the differences, advantages, and limitations of both these approaches.
Robot Solution for Automating the Lettuce Harvest
The lettuce's outer, or 'wrapper', leaves will be mechanically removed to expose the stem. Machine vision and artificial intelligence are then used to identify a precise cut point on the stem to neatly separate the head of lettuce.
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How to overcome GNSS limitations with RTK correction services
Although GNSS offers ubiquitous coverage worldwide, its accuracy can be hindered in some situations - signals can be attenuated by heavy vegetation, for example, or obstructed by tall buildings in dense urban canyons. This results in signals being received indirectly or via the multipath effect, leading to inaccuracy, or even blocked entirely. Unimpeded GNSS positioning in all real world scenarios is therefore unrealistic - creating a need for supporting technologies, such as real time kinematic (RTK) positioning and dead reckoning, to enable centimeter-accuracy for newer mass-market IoT devices.
