Computer Vision
What is Computer Vision?
Computer vision, a core Edge AI technology, enables devices to interpret and analyze visual data from cameras or sensors in real time. Also known as machine vision, it allows edge devices to make instant decisions without relying on cloud processing, improving speed, security, and efficiency.
Computer vision is also the field of AI that empowers machines to process, recognize, and understand images or video streams. In Edge AI, it allows data to be analyzed locally on devices, reducing latency and dependence on cloud servers.
Why Is It Used?
It’s used to automate visual inspections, detect anomalies, monitor safety, and enhance user experiences in industries like manufacturing, retail, healthcare, and transportation.
How Is It Used?
Edge devices such as smart cameras or IoT sensors run computer vision models locally. Applications include real-time object detection, facial recognition, gesture tracking, and automated quality checks.
Types of Computer Vision
Image Classification: Categorizes objects or patterns in images.
Object Detection: Identifies and locates multiple objects in real time.
Semantic Segmentation: Labels each pixel to understand object boundaries.
Pose Estimation: Tracks movement and position of humans or machinery.
Benefits of Computer Vision
Reduced latency with real-time insights
Enhanced privacy by keeping data on the device
Lower bandwidth usage compared to cloud-based solutions
Scalable and energy-efficient Edge AI deployment