Intelligent Video Analytic Solutions
Video Analytics allow for detecting, and measuring complex events based on live CCTV footage.
Typical applications for Video Analytics include hospitals, nursing homes, traffic control, homeland security, traffic management, banking and financial institutions.
CCTV Analytics usually involves detecting and measuring object motion, as well as integrating facial recognition, allowing the system to make intelligent decisions as to the motives behind particular actions.
Hospitals, Hostels and Nursing Homes
Video Analytics are designed to provide better patient services, cut monitoring costs, prevent accidents, and provide stronger medical records security when applied to hospitals and aged care
Video analytic features such as:-
Fall out of Bed Detection - Alerts a doctor or nurse when a patient falls out of bed.
Abnormal Motion Detection - Detects, records or alerts a doctor or nurse when a patient is in danger of having a seizure, or is restless
Slip and Fall Detection - Alerts caretakers when a patient slips or falls down
Facial Recognition - Controls access to patient confidential information and restricted areas such as drug stores. Combined with an existing access control system, Video Analytics can provide a strong two-factor positive identification system.
Traffic Monitoring and Control
Video Analytics are designed to detect unusual events that may cause hazards such as stopped cars on a road or shoulder, people or animals crossing highways, accidents or fallen cargo.
Video analytic features such as,
Shoulder lane detection - detects illegal shoulder lane driving or parking.
Stalled car detection - detects car accidents or stalled vehicles requiring further assistance.
One way detection - detects wrong way driving in a one way street.
Illegal parking detection - detects illegal parking in a restricted area.
Traffic counting - detects traffic Jams or slow vehicle movement.
Virtual fence - detects people or animals crossing laneways.
Loitering detection - detects people loitering in restricted areas.
Unattended object detection - detects objects that were left behind.
License plate recognition - automates parking gates and searches for unauthorised vehicles.
Homeland and Intelligent Business Analytics
Under the cloak of darkness, intruders try to infiltrate borders, buildings and security infrastructure.
Thermal imaging and night vision may eliminate surprise at night, but with large areas security systems can falter.
Combining existing CCTV or thermal imagery with advanced, intelligent video analytics, security officers can comb large tracts of land with more effectiveness.
Video analytic features such as:-
Loitering detection
Intrusion detection
Tampering detection of security cameras
Human detection and tracking
Blacklist filter to alert operators of unwelcome visitors
Facial recognition for border or gate control
Behaviour recognition for hold up, running, or wrong way
Intelligent Banking Video Analytics
Includes video analytic features such as:-
Advanced hold up detection technology that assists bank staff to alert police or a security guard without casualties
Detection of suspicious tailgating at ATMs
Detection of an unauthorised number of people in a vault or safety deposit box areas
Monitoring of people entering or leaving during non business hours
Blacklist filter to alert operators of unwelcome visitors
Loitering Detection - detects people loitering in restricted areas
Facial Recognition - controls access to restricted areas such as safes, vaults and I.T areas. Combined with an existing access control system, video analytics can provide a strong two factor positive identification system
Tampering detection of security cameras
Loitering detection near ATMs or bank reception areas
Intelligent Pub, Club and Casino Video Analytics
Includes Video analytic features such as:-
Black List Filter - automatically identifies unwelcome people with innovative facial recognition technology to avoid losses to pub, club and casino operators.
Gaming machine tamper recognition - automatically identifies physical tampering (tilt or shake) of gaming machines.
Traffic-flow counting - provides image based people counting to help pub, club and casino operators evaluate the performance and effectiveness of each zone block for future expansion consideration.
Gaze counting - automatically identifies which gaming zone has more people viewing and loitering. By collecting and reporting this data, pub, club, and casino operators can better assess the total traffic and
convert that traffic to active gaming, and determine the effectiveness of each machine, relative to its floor plan position.
Queue length detection - automatically identifies which restaurant or machine requires more customer service resources.
