This case study examines how one oil company slashed almost 96% of its annual security costs by implementing portable, solar-powered surveillance platforms to protect assets over thousands of miles.
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AI and IoT Power Self-Serve Health Clinics
What if people could get a checkup without going to a doctor? More would get healthcare advice, helping to enhance their well-being. Read how AI and the IoT enable self-serve health assessments.
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Interactive Video Displays Power an Agile Workforce
What if organizations changed their approach to meetings and project management? They could improve collaboration and business productivity. Read how interactive digital displays can make it happen.
First-Class Banking with AI and Facial Recognition
How can banks improve security and customer service? Facial recognition, AI, and high-resolution video make it possible. Read how one company uses these technologies to deliver an end-to-end solution.
Turnkey AI From Development Kit to Deployment
Developing and deploying computer vision solutions can require significant experience, resources, and time. The UP! AI Safety Development includes everything needed to start an AI vision project.
Trouble-Free Collaboration with Zero-Touch Deployment
Innovative digital displays leverage AI to streamline collaboration, improve productivity, and lower cost of ownership. With zero-touch deployment, enterprises can lower deployment time by 90 percent.
New CPUs Target the IoT Edge
Need more performance for deep learning at the edge? The 8-core 9th Gen Intel Core processors for IoT might be just the thing. Read about applications in retail and industry.
Why Intel® Xeon® Processors Pivoted to AI
The Intel® 2nd Generation Xeon Scalable Processor family adds new AI and deep learning capabilities, boosting performance in inference workloads up to 11x.
Is Facial Recognition AI’s First “Killer App”?
Facial recognition that interacts with humans must offer real-time responsiveness. This means running at the edge while still providing high levels of accuracy. Enter Intel® OpenVINO™.
Safer Communities with Analytics at the Edge
As city leaders seek more effective and affordable ways to address crime and improve quality of life, smart video, AI at the edge, and management in the cloud help achieve these goals.
A New Vision for Citywide Safety
Not all surveillance systems are the same. Multi-sensory awareness—vision, sound, and smell—take city safety to the next level, while AI and deep learning automate incident response.
9 IoT Innovations at Cisco Live 2019
Cisco Live 2019 will be full of amazing IoT and industrial solution innovations. Here are nine demos you won’t want to miss.
Digital Experiments Prove Smart Factory Solutions
Manufacturers can test Smart Factory deployments without financial risk. Digital experiments can validate a solution, quantifying results before deployment, saving time and money.
Retail Gets Personal with AI and Deep Learning
Luxury retailers are seeking new ways to enhance the customer experience. AI, deep learning, and AR enable customers to virtually try on products and receive personalized style recommendations.
Five Key Factors in Choosing a Collaboration Solution
There are five key factors to consider when selecting interactive video collaboration. Finding a solution to fit your needs just takes a little upfront planning.
Deeper Learning Makes Smart City Surveillance Even Smarter
Traditional computer vision reduces cost and improves performance in DSS systems, but truly intelligent video analytics demand more. Learn how one company delivers on the promise of intelligent DSS.
Video Surveillance Secures the World Cup
Russian officials leveraged 9,000 cameras to monitor and secure more than 3 million attendees at the 2018 FIFA World Cup. Next-gen vision tech powered system reliability, scalability, and accuracy.
Facial Recognition Puts Shoplifters Out of Business
Law enforcement agencies rarely prosecute shoplifters, leaving retailers on their own. Advanced algorithms and a legal database enable retailers to deploy facial recognition to prevent shoplifting.
Machine Vision Needs to Be Easier
Machine vision doesn’t have to be complicated. With the right tools, even non-programmers can train models and evaluate success.
City-Scale Edge Inference, Built in 3 Weeks