Home Innovation Advanced CCTV Cameras that detects potential Criminals and Terrorist attacks

Advanced CCTV Cameras that detects potential Criminals and Terrorist attacks

we can see much advanced CCTV cameras in near future which not only records the video footage but also identifies the criminals and possible criminal attacks even in crowded, busy streets.

725
0
SHARE

The current technology with CCTV cameras helps in recording the video footage. However, we can see much advanced CCTV cameras in near future which not only records the video footage but also identifies the criminals and possible criminal attacks even in crowded, busy streets.

Advanced CCTV Cameras: Future Technology in CCTV Cameras that detects Criminals and Terrorist attacks
Advanced CCTV Cameras: Future Technology in CCTV Cameras that detects Criminals and Terrorist attacks

Upcoming advanced CCTV Cameras:

Next Generation Identification (NGI) – Developed by FBI, USA

Next Generation Identification (NGI) is a technology developed by FBI, USA. FBI is ready to launch this technology in 2014 in which FBI invested around One Billion $.

NGI is a face recognition system for CCTV Cameras. By using this technology FBI is planning to catch known criminals.

NGI has an algorithm that matches people faces with an archive of mug shots. This new technology has capability to identify people using security camera footage and pictures uploaded to the Internet. It also uses biometric tools like Iris Scans, DNA Analysis and Voice recognition which matches the surveillance with known criminal’s photos and help agencies better identify and catch suspects.

This technology can identify faces even from a busy crowded street.

This project was under testing since Feb 2012 and ready to implement in USA national wide from 2014. As per the reports provided, the project has an accuracy of 92% in identifying the people faces over 1.6 million mug shots.

Disadvantages:

  1. It cannot identify the face of person, if he/she covers his face or wears a dark glasses
  2. It only recognizes the known criminals in the database which matches with FBI records but can’t study the aggressive behaviour of people who are ready to attack
  3. It can identify only the people but not the deadly weapons like guns, knives, bombs etc.

Kintense System – Developed in University of Virgina:

Inspired from Microsoft’s gaming sensor Kinect, a research scholar from University of Virgina designed a sensor for CCTV Camera to predict a person’s aggressive behaviour such as kicking, pushing, hitting and throwing.

The system Kintense analyses a person’s body and identifies where the joints are in order to create a real-time 3D skeleton figure. This concept is not fully developed, it is still under development.

Advantages:

  1. Person no need to face camera
  2. Recognizes the person’s aggressive behaviour

Considering the advantages and disadvantages of these upcoming technologies, we can predict how the future CCTV cameras would look like

Future Technology in CCTV Cameras:

The best CCTV Camera in future would have following features.

  1. The future CCTV Camera should be able to detect people away from half a mile
  2. The system should be able to recognize the face of the person from any angle i.e. person no need to face camera completely in order to get recognised
  3. The system should be able to capture the criminal in a large crowd and send an alert or alarm to security if the record is already in the security database
  4. The system should also identify the people carrying deadly weapons and send an alert to security
  5. The system should be able to identify the aggressive behaviour of person like kicking, pushing, throwing, jumping and hitting
  6. Not only the aggressive behaviour, the system should also identify the unusual behaviour of the people who are possible risk for terrorist attacks. Here the unusual behaviour includes
    • Keeping bag/luggage at a particular place and leaving away
    • Covering the face completely to hide from security surveillanceApart from individual person, the system should be able to identify the group of people who are behaving in an unusual manner
  7. The system should be able to detect the potential risk of chain snacking, pick pocketing, kidnapping, robbery etc by studying the unusual behaviour of the person or group of people in a crowd and send an alarm to security

Finally, if we can see this technology in near future there is no escape to criminal from Police.
Image Source:
 Image designed by Prasad. Copyright @ www.gobyme.com

Comments