Computer Vision-image and video analysis tool

Example

Self-driving cars use object detection to identify pedestrians, vehicles, traffic signs, and obstacles on the road.

Scenario

In the automotive industry, object detection plays a critical role in autonomous vehicle navigation. Cameras equipped with computer vision algorithms continuously scan the surroundings of a vehicle to detect and classify objects in real-time. This helps the vehicle respond appropriately to dynamic road conditions, like stopping for a pedestrian or avoiding a collision.

Example

A social media platform can use image classification to automatically tag photos based on the content (e.g., identifying whether the image contains food, pets, or landmarks).

Scenario

In social media, platforms such as Instagram or Facebook leverage image classification to improve user experience. By analyzing the contents of uploaded photos, these platforms automatically suggest tags or categorize photos into relevant albums. This reduces the need for manual tagging and enhances the organization of user content.

Example

Smartphone face unlock uses facial recognition to authenticate users by analyzing their facial features.

Scenario

Facial recognition is widely used in personal devices like smartphones to improve security. It analyzes unique facial features, such as the distance between the eyes or the shape of the chin, to verify a user's identity. This technology is also applied in airports for faster and more secure check-ins, replacing traditional ID checks.