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Title Intro (LC)

Computer Vision & Recognition Systems - Decoding the Visual World

Computer vision systems and recognition systems must process large volumes of optical sensor data in real time, making them another category of product that can benefit from artificial intelligence (AI) in general, and machine learning (ML) in particular. Sensors feed processing systems with unstructured data – data that is unformatted. AI/ML is particularly adept at finding patterns in unstructured data and developing predictive models it can subsequently refine as it processes additional data.

Some of the most common use cases for AI/ML in computer vision systems include:

Smart Cameras
Quality control in manufacturing (DVI)
Autonomous systems

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DVI (MM)

Bringing AI to Defect Visual Inspection

Are you looking to automate your visual inspections and improve the efficiency of your operation? Maybe you’ve already explored some options but have simply been priced out by the existing solutions on the market, or you’ve been put off by the complexity of the setup on existing solutions. Thankfully, Avnet Silica’s AI-based solution removes complexity and is cheaper compared to existing solutions on the market!

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Smart Cameras (MM)

Smart Cameras

Cameras for safety monitoring are being installed seemingly everywhere – office buildings, retail outlets, entertainment venues, municipal locations, residential porches. Not all are AI-enabled, but AI/ML is gradually being included in a growing percentage of cameras. With AI, camera operators can do anything from distinguishing employees from visitors to identifying whether the person ringing the doorbell is a neighbor or a mail carrier.

Smart Camera identifying cars on motorway

Autonomous Systems (MM)

Autonomous Systems

Autonomous systems include robots, cobots, drones, agricultural equipment, trucks, cars, and more. All of these systems incorporate optical sensors for navigation. Safe navigation is dependent on object detection and identification and that is best provided by AI/ML systems. Some of these systems have other purposes that also rely on visual systems. Agricultural harvesters, for example, need to be able to make a distinction between unripe and unripe fruit, while also being able to detect blemishes and disease. Again, identification and categorization are processes that AI excels at.

Getting started (GBL)

Guide

Getting Started with Deep Learning for Vision Applications

Avnet Silica, in partnership with Deep Vision Consulting, has created a set of resources to help you create your own demo, and it’s easier than you think. All you’ll need is some Lego™ and our Deep Learning starter kit.

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AI Articles Teaser

Close-up of automated machinery with robotic arms and circular glass components

Defect visual inspection using AI enables multiple emerging markets

By Michaël Uyttersprot - August 8, 2024

Technical article

Machine vision is enabling many existing and emerging markets. Security, manufacturing and industrial automation all use machine vision. Adding artificial intelligence (AI) inferencing at the sensor provides many benefits. Industrial automation combines ...

How is AI changing the electronics industry?

By Philip Ling - May 22, 2024

Technical article

Artificial intelligence has the potential to influence every part of any company. As a trusted partner and leader in technology, Avnet has a responsibility to its customers and suppliers to consider the impact of AI from all angles.

Why AI and embedded design share the same DNA

By Philip Ling - May 22, 2024

Technical article

Intelligence comes in many forms. More of us are interacting with devices that appear to understand us. What and how they understand depends on the technology inside. How are embedded engineers implementing intelligence?

a-microchip-with-the-image-of-a-neural-network-on-the-top

Why AI must redefine processor architectures

By Philip Ling - May 22, 2024

Technical article

Artificial neural networks are complex, multi-layered and multi-dimensional arrays of interconnected numerical values. Executing the math behind those connections is at the heart of AI. This math is unlike any other in the digital domain.

Patients using continuous passive motion machines in a medical setting

Learn how AI and the latest CPM technologies optimize patient rehabilitation

By Avnet Staff - February 21, 2024

Technical article

Continuous passive motion (CPM) is now a critical part of patient rehabilitation. New technologies, including artificial intelligence, are helping medical OEMs take the next step to optimize patient therapy.

What is the impact of using AI in 5G networks

By Avnet Staff - August 22, 2023

Technical article

AI is impacting the performance, security and maintenance of 5G networks. Network operators are racing to reap the benefits. AI promises to deliver returns on network investment and improve the end-customer experience along the way.

Advancing quality control: The Evolution, Impact and Future of Defect Visual Inspection (DVI) in Manufacturing

By Michaël Uyttersprot - July 26, 2023

Technical article

In the complex realm of manufacturing, Defect Visual Inspection (DVI) has emerged as a critical process, evolving significantly over time.

Placing greater intelligence at the edge

December 15, 2022

Technical article

With the number of connected nodes that make up the Internet of Things (IoT) growing on a daily basis, it is universally accepted that the way in which machine learning (ML) inferencing is executed has to change.

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