2. Intro to S-cam
• Action detection software for security maintenance of small
business enterprises
• A threat detecting software for surveillance of financial firms
• A source for public and private sectors administration to keep
track of unexpected activities
• Scam application with the help of cameras keeps detecting objects
and their actions
• In case of any threat security personnel department is alerted
• Scam can stop fraud, robbery and violent crime before it even
starts
3. Motivation
• The motivation for this idea comes up from the recent law
and order situation around the world
• in Pakistan, where the street crimes are increasing rapidly,
everybody wants to be secure
• The main motivation for us is to ensure that all financial
firms are being run in a secure environment
• we believe in “Deter and Detect criminals before they act”
4. About s-cam
• Scam is an application which works on live and recorded data of cameras
• Software will utilize a action detection system to filter out faces from the video capturing
device
• Software will perform skin colour detection and filter out all objects that do not contain
the colour of skin
• By filtering object of non-skin coloured, the system can then use its remaining resources
and focus on hand detection and gesture recognitions
• The skin detection module can be achieved by using the Marvin Image Processing
Framework
• Software will be able to incorporate the different types of formats
5. Our Fix
• To ensure security of an organization Following are the things we
proposed to fix the concerned problem for different parties:
a) A camera connected to a GPU with computer is required
b) Clients would be assigned User ID and passwords in order to generate
access log of the system
c) Data would be coming from several CCTV Cameras connected to the
system.
d) Threats detected of number of similar objects detected will be displayed
in form of interactive graphs or bar charts
e) For live data coming from CCTV cameras in real time, we will stream data
visualizations, objects will be detected in real time hence the user will be
warned beforehand.
