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How AI Enhances The Smart Home Security System With AI Cameras?

AI is now used in home security systems through AI cameras and video surveillance. And thanks to AI technology, cameras are now equipped with more advanced features to provide more comprehensive detail of surroundings with a more clear picture of the various objects.

Future Technology in AI Security Cameras

Thanks to AI, such cameras now come with multiple features like detecting the objects and recognizing them, and what category or group it belongs to. Apart from that, AI security_cameras can also detect objects in dark environments or during the night with night vision technology.

Also Read: How To Ensure Quality of Training Data for Your AI or Machine Learning Projects?

Furthermore, security_cameras now comes with motion sensor technology, to stay in sleep mode when there is no object or movement in the focused area and wake up to record or capture the objects as it comes in front of the camera. These cameras are moveable and move according to the movement of objects to record their activities and send them to the owner.

Future of Home Security System with AI Security Cameras:

  • Ultra-High-resolution Recording
  • Infrared Night Vision Technology
  • Motion Detection Alert System
  • Live Recording & Processing
  • Multi-Device Accessibility
  • High-capacity Memory Storage
  • Two-way Communication
  • Face Recognition System
  • Thermal Scanning of Humans

How does AI Improve the Home Security System?

With the AI_camera-based security system, homes are becoming smarter. People living in the houses, can utilize the face recognition system to recognize the people coming to their doorstep. While opening the doors, they will get know the person if they know or not ensure safety from unauthorized people.

Similarly, using the auto motion detection system in AI_cameras, the unknown creatures or unwanted activities can be easily detected while sitting inside the room. The 360 view of camera can be accessed through smartphones and other portable devices with live coverage and tow-way communication.

More Accurate Face Detection System in AI Camera

Similarly, to detect human faces, landmark annotation is used to create the training data for machine learning in AI security cameras. This image annotation technique annotates the human faces meeting from one-to-another point measuring the face dimension and other attributes.

Multiple Language Voice Recognition System in AI Camera

The new age of AI cameras is trained with a two-ways talk-back system allowing the owner to communicate with anyone through such cameras. And few cameras are built with virtual assistant systems to answer various questions of people in their native languages.

And to train the voice recognition system, natural language processing with text annotation and audio annotation are used to train the AI camera model. When trained with a huge quantity of language or speech-based training data AI camera becomes capable enough to understand the human language and ready to answer their questions with relevant replying to different types of users.

How to Get Training Data for AI Camera for Home Security?

Anolytics is one of the leading data annotation companies, providing image annotation services for machine learning and AI-based model developments. It is also providing the training data for AI cameras for object detection and recognition in various natural environments. Anolytics is working with a team of well-trained and highly skilled annotators to annotate the images and other data with the next level of accuracy. It is also providing the data annotation services for machine learning and deep learning in AI for various fields including agriculture and healthcare etc.
 
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