Three eras of machine learning - A new paradigm
Simple rule-based algorithms have been used in the visual inspection market for many years, but as their limits have become more apparent, the need for more sophisticated software has grown.
Why the Conventional Deep Learning Model is Broken
The conventional deep learning model is a supervised model. It takes months of time to develop and train the model before it is ready for the production line. Here, Karina Odinaev explains why the conventional deep learning model is broken and what the alternatives are.
Why the conventional deep learning model is broken
The conventional deep learning model is a supervised model. It takes months of time to develop and train the model before it is ready for the production line.
The Next Big Step for AI? Understanding Video
Will Knight for MIT Technology Review: Perceiving dynamic actions could be a huge advance in how software makes sense of the world.
Test Drive Watson IoT in Factory Simulation
John Hitch for Industry Week: IBM's Watson IoT sees all and might even know it all. In a new simulation, you can feel what it likes to have it working for you.
Introducing Myriad X: Unleashing AI at the Edge
Remi El-Ouazzane for Intel: The First Vision Processing Unit with a Dedicated Neural Compute Engine will Give Devices the Ability to See, Understand and Interact with the World Around Them in Real Time
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Featured Product
FLIR Si1-LD - Industrial Acoustic Imaging Camera for Compressed Air Leak Detection
The FLIR Si1-LD is an easy-to-use acoustic imaging camera for locating and quantifying pressurized leaks in compressed air systems. This lightweight, one-handed camera is designed to help maintenance, manufacturing, and engineering professionals identify air leaks faster than with traditional methods. Built with a carefully constructed array of MEMS microphones for high sensitivity, the Si1-LD produces a precise acoustic image that visually displays ultrasonic information, even in loud, industrial environments. The acoustic image is overlaid in real time on a digital image, allowing you to accurately pinpoint the source of the sound, with onboard analytics which quantify the losses being incurred. The Si1-LD features a plugin that enables you to import acoustic images to FLIR Thermal Studio suite for offline editing, analysis, and advanced report creation. Field analysis and reporting can also be done using the FLIR Acoustic Camera Viewer cloud service. Transferring of images can be managed via memory stick or USB data cable. Through a regular maintenance routine, the FLIR Si1-LD can help facilities reduce their environmental impact and save money on utility bills.
Manufacturing and Automation - Featured Company
Teledyne FLIR
Teledyne FLIR designs, develops, manufactures, markets, and distributes technologies that enhance perception and awareness. We bring innovative sensing solutions into daily life through our thermal imaging, visible-light imaging, video analytics, measurement and diagnostic, and advanced threat detection systems. Teledyne FLIR offers a diversified portfolio that serves a number of applications in government & defense, industrial, and commercial markets. Our products help first responders and military personnel protect and save lives, promote efficiency within the trades, and innovate consumer-facing technologies. Teledyne FLIR strives to strengthen public safety and well-being, increase energy and time efficiency, and contribute to healthy and intelligent communities.
