Deloitte’s 12th annual Tech Trends report provides insights and inspiration for the digital journey ahead.
For more than a decade, Tech Trends has explored the landscape of emerging technologies and sought to understand their impact on business strategy. Within this broad landscape, we have identified several macro technology forces as the backbone of business innovation and transformation. Full Report
Winn Hardin - AIA
Deep learning enables machine vision solutions for applications where defects or inspection criteria cannot be easily quantified or mathematically defined. It offers machine vision designers a powerful new tool for advanced inspection, assembly, and quality assurance applications because the software essentially helps the designer develop the best possible algorithm. But until recently, creating deep learning software required traditional programming skills, preferably combined with a strong grounding in statistics and traditional machine vision system design.
Today, thanks to deep learning – enabled smart cameras, gateways and application-specific coding, deep learning for the masses may be a few clicks away. Full Article
Vision Systems Design
Free tools and training data, easy-to-find tutorials, and low hardware costs have made deep learning no longer a method available only to researchers or people with highly specialized skills and/or big budgets.
This presents both opportunities and threats as new players emerge to disrupt established names and spur innovation. It also provides opportunities for a machine vision system to do things previously unimaginable. Deep learning can recognize unexpected anomalies, typically very difficult or almost impossible to achieve with traditional rules-based coding, for example. Full Article