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.
Enhancing Precision Agriculture with 20MP High-Resolution Cameras for Weed and Bug Detection
In this blog, we explore how a 20MP high-resolution AR2020 sensor-powered camera and its functionality help enhance precision agriculture techniques such as weed and bug detection methods.
IRIDESENSE UNVEILS THE WORLD'S FIRST LASER DEVICE CAPABLE OF ANALYZING PLANT HEALTH REMOTELY
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A global pioneer in 3D SWIR Multispectral perception, IRIDESENSE is unveiling a new LiDAR sensor at CES 2024, allowing real-time remote analysis of plants health and soil humidity, revolutionizing water management and plants care in agriculture
Combating the Risks and Scale of Disasters With Innovative Image Processing
An integrated forest fire monitoring and information management system with intelligent image processing can help protect habitats and infrastructure.
The Next Phase of Development for Vertical Farming
While many farms currently approach their operations primarily from an agricultural perspective, it is worth noting that modern vertical farms share significant similarities with the manufacturing industry.
Aurea Imaging Launches TMS TreeScout, the World's First Tractor-Mounted Sensor for Precision Orchard Management
Powered by AI and high-definition 3D computer vision, Aurea's fully integrated high-precision sensor technology helps fruit farmers optimize their orchards at the individual tree level.
Fish-Farming Startup Casts AI to Make Aquaculture More Efficient, Sustainable
GoSmart, a member of the NVIDIA Metropolis and Inception programs, helps farmers better manage fish feed with autonomous systems powered by the NVIDIA Jetson platform for edge AI.
Fieldin Partners With Fruitspec to Provide Yield Inventory Technology to Apple Growers in the Pacific Northwest
FruitSpec's innovative technologies automatically track fruit sizes and quantities throughout the growing season so growers, packing houses and sales desks can better align fruit inventories to meet market demands.
How Cameras Enable Vision in New-age Agricultural Robots
Embedded vision has been transforming agriculture by enabling autonomous mobile robots to 'see' their environment for the purposes of picking & harvesting, plowing, weed & bug detection, etc.
APPLE KING ACHIEVES GROUNDBREAKING GRADING RESULTS WITH ELLIPS TRUE-AI
In mid-December, Apple King of Yakima, WA upgraded its existing Ellips TrueSort apple grading & sorting technology to incorporate Ellips' "Deep Learning" solution called TrueAI.
Automatic Forest Fire Detection System With AI Enables Early and Efficient Fire Fighting
Instead of elaborately programming a solution, neural networks and deep learning algorithms teach an image processing system to see, recognize and verify objects - in this case smoke.
Robot Solution for Automating the Lettuce Harvest
In England, agricultural technology and machinery experts are working with IDS Imaging Development Systems GmbH (Obersulm, Germany) to develop a robotic solution to automate lettuce harvesting.
How to Create Intelligent Machine Vision Applications
Recognizing organic and multi-variant objects is no easy challenge in machine vision. However, the situation is different when using intelligent cameras such as those of the IDS NXT series.
Vision System Simplifies Robotic Fruit Picking - Acro Institute
By placing the camera inside the gripper, the position of the camera is fully controllable. The camera can point its optical axis at the apple, reducing image distortion and eliminating repetitive calibration steps during apple picking.
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