Update for the AI System IDS-NXT Cameras Can Now Also Detect Anomalies
The intelligent IDS NXT cameras are now able to detect anomalies independently and thereby optimize quality assurance processes. For this purpose, users train a neural network that is then executed on the programmable cameras.
AI and the Chocolate Factory
Reinforcement learning is an approach adopted from artificial intelligence (AI) that mathematically replicates natural learning. The chocolate factory is an example of how application-specific optimised controls can be developed much faster in this way.
The Past and Future of Plant-Robot Cybernetics
People should know what to look forward to as more technology becomes readily available for society's consumption, as well as how they can incorporate technology and nature into their homes in the present.
AI-Powered Kindred INDUCT Automates Induction of One Million Items with 95% Accuracy
An INDUCT workcell was incorporated into an existing induction line at a global logistics facility and transportation hub where 200,000 small parcels are sorted each hour, and up to 400,000 parcels are processed during the peak holiday season.
How AI is reshaping the edge computing landscape
How much computing power is needed at the edge? How much memory and storage are enough for AI at the edge? Minimum requirements are growing as AI opens the door to innovative applications that need more and faster processing, storage, and memory.
BOWE GROUP leads an $8.2M investment round in robot software innovator MOV.AI
The investment reflects BOWE's strategic view of robotics in the future of automation and is a vote of confidence in MOV.AI's innovative approach to robot software.
5 Amazing Benefits of Combining AR, VR and Robotics
There are many ways of combining these three technologies, but a handful of applications stand out today. They reveal some key benefits of AR, VR and robots working together.
Understanding The Opportunities for AI-Cameras and LiDARs for Smart Road Infrastructure
With advancements in artificial intelligence (AI) and 5G network connectivity, smart-road infrastructure technology offers the promise of being added to many different roads, bridges, and other transit systems across the U.S.
Learn How To Protect Your Business with AI for Visual Inspection - Pleora Webinar Live April 6, 2022
This webinar will discuss how two manufacturers - a distillery and an electronics assembly operation - are using camera-based visual inspection to protect their brand and make manual processes repeatable, consistent, and traceable.
Robotic Resources: How Autonomous Technologies Enhance Human Capabilities
In general, the more data an artificial intelligence device can capture, the better it will perform. This fact may influence some businesses to use specific robots and autonomous machines that are designed to be compatible with their existing technologies.
New study shows methods robots can use to self-assess their own performance
Research is shedding light on how autonomous systems can foster human confidence in robots. Largely, the research suggests that humans have an easier time trusting a robot that offers some kind of self-assessment as it goes about its tasks.
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.
Private 5G Connectivity and AI Technologies Accelerate the Transformation From Automation to Autonomy
This article looks at private 5G (known as P5G) and how it supports advanced and emerging technologies, including AI cameras, enabling manufacturers to drive more functionality closer to the edge.
NVIDIA Builds Isaac AMR Platform to Aid $10 Trillion Logistics Industry
DeepMap, Metropolis, and ReOpt improve performance for fleets of autonomous mobile robots amid expectations for nearly 6x increase in robot sites by 2025.
Opinion: EU AI Act Will Stifle Robotics Innovation
Any policy that slows down the use of automation will cause operational inefficiencies. This is the last thing we need considering the global supply chain crisis.
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