Results for: Ecosystem
A Four-Phase Strategy for Robotic Vision Processing, Part Two
In Part 1 of this two-part series on machine vision for robotics, we discussed how advances in technology are allowing today's robots to see, analyze, and make decisions more like humans. This...
https://developer.qualcomm.com/blog/four-phase-strategy-robotic-vision-processing-part-twoTags:
Connecting IoT Devices to AWS and Azure Cloud Services
When it comes to the Internet of Things (IoT), the cloud plays a major role in allowing developers to distribute computing between edge devices and remote digital services. This architecture opens...
https://developer.qualcomm.com/blog/connecting-iot-devices-aws-and-azure-cloud-servicesTags:
IoT Security Considerations
Building the Foundation With billions of "things" becoming connected in the era of IoT, security is a significant issue and remains a top concern for many customers. This in turn becomes a...
https://developer.qualcomm.com/blog/iot-security-considerationsTags:
A Four-Phase Strategy for Robotic Vision Processing, Part One
The Evolution of Vision in Robotics
First-generation consumer robots, such as the first robotic vacuum cleaners introduced to consumers, were relatively simplistic and had limited abilities to self-...
https://developer.qualcomm.com/blog/four-phase-strategy-robotic-vision-processing-part-oneTags:
Mobile AI Through Machine Learning Algorithms
Machine learning (ML) is a method of artificial intelligence (AI) in which data is used to train a machine so that it can make decisions or predictions on its own. In a previous blog, Setting up your...
https://developer.qualcomm.com/blog/mobile-ai-through-machine-learning-algorithms