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• Face lock in smartphones: Smartphones come with a security system of using facial
recognition to lock and unlock smartphones. It uses the front camera and computer
vision algorithms to map and store facial features securely. Once it is stored, every
time to unlock it matches the input face with the features already stored in it.
• Self-driving cars: Self-driving cars utilise CV to recognise
objects such as lamp posts, pedestrian crossings, and stop signs. Image classification
and object detection techniques enable self-driving cars to identify road boundaries,
obstacles, and determine actions such as stopping or continuing to drive.
• Surveillance systems: Computer vision is widely used in surveillance systems to
enhance security in public spaces, buildings, and border areas. It enables the detection of
suspicious activities by analysing patterns and behaviours captured on camera. The
technology can track individuals or vehicles using object detection and tracking algorithms,
ensuring continuous monitoring. Advanced systems also incorporate facial recognition
and anomaly detection for improved accuracy and efficiency in threat identification.
• Agricultural monitoring: Computer vision is used in agriculture for tasks like monitoring
crops, detecting pests, and estimating yields. Drones equipped with cameras capture
aerial images of farmland, which are analysed to evaluate crop health, detect pests, and
optimise farming practices.
• Retail automation: In retail store, smart checkout systems use computer vision
to recognise products and streamline the payment process by automating
transactions.
• Drone surveillance: Drones equipped with CV systems
can perform aerial inspections, monitor large areas, or assess damage after natural
disasters.
As AI technology advances, the scope of computer vision continues to expand, offering increasingly accurate and
sophisticated ways to interpret visual information, ultimately making machines more intelligent and autonomous
in various fields.
21 st Century #Technology Literacy
Skills #Creativity
GAME 02 AutoDraw
Visit: https://www.autodraw.com/ or scan the QR code to draw the image.
AutoDraw is an online tool developed by Google that helps users to create drawings quickly
and easily. It is particularly useful for people who struggle with drawing but still want to
create recognisable and neat illustrations. AutoDraw uses computer vision to recognise the
shapes you're drawing and match them with a predefined set of professional images.
How AutoDraw Works:
1. You start by drawing a rough sketch of the object you want to depict.
2. AutoDraw’s machine learning algorithms analyse your drawing and try to recognise what you're trying
to depict based on a database of possible images.
3. AutoDraw offers suggestions of professional-looking drawings that match or closely resemble your
sketch. You can click on the suggestion to replace your sketch with the more polished version.
4. Once a suggestion is chosen, you can refine the drawing or adjust it further to fit your needs.
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