eRam Business Development Homepage
Information Technology
P.O.S Total Solution
Security Systems
Dexterra Mobile Software and Tools
Exporting services
eRam Training Center
plastics Machinery Industry
About SmartCatch
  SmartCatch Home
 

Features

  System Requirements
 SmartCatch Behaviors
  Human Tailgating
 

Stopped Vehicle

  Loitering
  Unattended Object
  Perimeter Monitoring
 

Crowd Detection

  Exit Lane
Where to be Applied
  Critical Infrastructure
  Supply Chains
  Airports
  Bus and Rail Systems
 Case Studies
  Case Study 1
  Case Study 2
 
 Quick Contact
Contact us by calling +96626689715 Ext 52 for Sales and marketing Ext 22 for Technical Support or 10 for Administration

Send us your enquiries and feedback through info@eram.com.sa or sales@eram.com.sa

More details at the Contact Us page


 

SmartCatch  Human Loitering

SmartCatch is an accurate and effective solution for detecting loitering in sensitive areas. Using existing
CCTV infrastructure, SmartCatch software monitors, identifies and tracks objects for security policy violations and enables quick response through real-time alerts and instant video replays. At the core of SmartCatch is a set of advanced video algorithms capable of performing complex behavioral analysis, tracking numerous objects and simultaneously identifying security threats in even the most complex environments. Human Loitering is one of many available SmartCatch behaviors.
 
DEFINITION
The human loitering algorithm detects humans from a CCTV camera and tracks their movement. Loitering is detected by SmartCatch when the human movement remains within the camera view or part of a camera view (as specified by the user) for a minimum period of time (also specified by the user.) Loitering includes any type of human movement such as running or walking within a loitering range by at least one human in the camera view.

Multiple humans may loiter near or at the same time and SmartCatch tracks each loiterer individually.
SPECIFICATIONS  
  General    Hardware Usage
bullet Type of use: indoor
 
bullet Maximum number of concurrent human tracks: 5
 
bullet Input video processing format: CIF,
MPEG4
 
bullet Video processing size: 320x240(NTSC) or
352x288(PAL) minimum; higher resolutions fully supported if processing capacity is available. High resolutions can also be downsized or cropped to minimum processing size
 
bullet Minimum video size to detect human: 6x6 pixels (head size) at 320x240
 
bullet Number of regions of interest: 0 to 10
 
bullet Recommended minimum camera distance
from human: 6 meters or 20 feet with
standard lens
 
bullet Recommended maximum camera
distance from human: 30 meters or 98
feet with standard lens*
bullet SmartCatch Video Processing Unit (VPU)
Software with Windows 2003 Server
 
bullet Minimum hardware specifications: Intel
Xeon 2.8GHz, 1GB RAM, 80 GB HDD
 
bullet Xeon consumption: 20% of Xeon
processor per human tracks
 
bullet Maximum number of cameras with
loitering behavior per Xeon CPU: 2

   User Configurations

bullet Minimum loiter time setting: 5 seconds
 
bullet Maximum loiter time setting: 10 minutes
 
bullet Regions of interests may be defined by
rectangles, ovals, or any polygon
 
   Recommended Camera Positions

   Human Loitering Calibration Parameters
bullet Loitering time
bullet Detector parameter file
bullet Region of interest settings
bullet Maximum number of humans
bullet Image processing scale

Home  |  Information Technology  | POS Systems  | Security Systems  | Mobile Solution  | Exporting  |  Training Center  |  عــربي

eRam Business Development. All rights reserved