Applications

Applications for Stakeholders

Security

City Surveillan Applications - Applications in iQ Smart City

1. Identification and tracking of suspects/criminals even in a crowded and uncontrolled environment

2. Detection of suspicious behaviors, e.g., man-down/fighting, loitering, running, crowd gatherings/formation etc. Capability to automatically IDENTIFY the culprits using many-to-many Face Recognition system

3. Capability to link different events from a large number of cameras and to provide full picture and event association for immediate actions

4. Immediate alert for people who wear masks, helmets when entering specific areas, e.g., at money exchanges or near an ATM

5. Recognition of suspicious activities determined by using a combination of video and audio recognition systems. Generate an alert for incidents like gun shots, serious car accidents and screaming sounds.

6. Surveillance system health check to prevent camera tampering or sabotage

Operations

1. Prevent hawkers, posting of advertisements, graffiti and vandalism

2. Data collection before any construction and street planning activities. Use of a counting system to understand the traffic flows and the distribution of people/vehicles at different times of the day

Safety

1. Prevent over crowding

2. Detect slips and falls

3. Smoke and fire detection for outdoor environment

Law Enforcement

1. Detect vehicle speeding

2. Prevent illegal parking for all kinds of vehicles or for specific vehicles

3. Prevent vehicles that cross the line at the traffic lights when the light is red

4. Automate the law enforcement and “fining” process for vehicles violating rules using License Plate Recognition system in combination with iQ-Hawk

Security

1. Abandoned objects on the platform or station

2. Face Recognition in crowds

3. Trespassing - wrong way or unauthorized entry

4. Intrusion detection for tunnel, rail yard or tracks

5. Graffiti and vandalism detection

Operations

1. People counting or crowd management

2. Unauthorized access across the turnstile

3. Prevent beggars/homeless people sleeping at the station

4. Site maintenance

Safety

1. Platform safety (yellow safety line detection)

2. Detect running/skateboarding/ slip and fall on platform

3. Counting & Overcrowding and congestion detection

4. Smoke and fire detection

5. Confirmation of working safety light on passing trains

6. Detection of over-speeding

7. Detection of objects protruding from cargo trains

Marketing Applications

1. Counting

2. Passenger traffic flow measurements

Security

1. Theft prevention system to protect valuable property, e.g., paintings and furniture

2. Graffiti and vandalism detection

3. Detection of suspicious behaviour, e.g., running, skateboarding, loitering, wrong way and man-down or attack. It is accompanied with both a video and a voice recognition system.

4. Perimeter protection and intrusion detection to prevent unauthorized access after hours

5. Prevent unauthorized access and tailgating

6. Surveillance system health check to prevent camera tampering or sabotage

Operations

1. Adhere with fire and safety regulations using the crowd management system to understand the occupancy rate in the building

2. Better car park management particularly with the use of counting, License Plate Recognition system, tailgating system, wrong way and parking violation detection etc. Boom gates, used at car parks, can be opened automatically once authorized access is confirmed, e.g., for VIPs or executives.

3. Refer to the details in the car park applications.

4. Better resource allocation to cope with busiest time or special events

5. Better property management and to understand the busiest storefront with the use of an accurate people counting system

6. Capable of understanding the occupancy to efficiently adjust the electricity usage in terms of energy savings, e.g., the lights can be dimmed or turned off in areas that no longer have people in them

Safety

1. Smoke and fire detection since conventional smoke detection cannot be effective in areas with high ceilings

2. Crowd management and control

3. Detection of water spills

4. Detection of slip and fall for public liability or man-down detection

5. Prevent vehicle speeding at the building entrances and car parks

Security

1. Protect bridges and other critical infrastructure, e.g., detect abandoned objects or suspicious objects at the “pylon” or “footing” of bridges

2. Surveillance system health check to prevent camera tampering or sabotage

Operations

1. Traffic management, e.g., vehicle counting, average speed, congestion detection and average waiting time

2. Parking violations and disregard of the “No stopping zone”. Use of iQ-Hawk and License Plate Recognition system to automate the law enforcement and fining process for the violating vehicles

3. Efficient traffic light management can be adjusted dynamically depending on the current traffic situation, e.g., it allows longer time for pedestrians if there are more pedestrians waiting at the crossroads.

4. Understand the flow and maximum “loading” requirements particularly for the large and heavy vehicles in terms of road maintenance

5. Prevent hawking and begging in prohibited sections or areas

6. Prevent certain vehicle types on certain road sections, e.g., on bus lanes. This can be used for over-sized vehicles or vehicles whose height may not clear an overpass.

Safety (and for law enforcement)

1. Detect speeding vehicles.

2. Detect red light violation

3. Quick responses to accidents, e.g., detect accidents, stopped vehicles and “near misses” on the roads or highways

4. Detect “crossing lanes” on double solid lines in tunnel or prohibited sections

5. Incorrect direction on one way roads

6. Collision prevention at level crossings

7. Detect abandoned objects or fallen objects

8. Use of the iQ-Hawk and License Plate Recognition to automate the law enforcement and fining process for violated vehicles

9. Detect pedestrian jaywalking, skateboarding etc.

10. Prevent people crossing major highways or entering the tunnels

11. Use of iQ-Hawk and Face Recognition system to automate the law enforcement and fining process for any unauthorized entry

1. Intrusion and perimeter protection

2. Tailgating system for restricted zones

3. Access control using Face Recognition

4. Abandoned object detection

Operations

1. VIP access management

2. Queue management

3. Understand occupancy and ensure that safety regulations are met

4. Speed control

5. Prevention of illegal parking

6. Detection of hawkers and beggars

7. Surveillance system health check to prevent camera tampering or sabotage

Safety (and for law enforcement)

1. Detecting someone who has fallen down

2. Detecting water spills

3. Detecting smoke and fire since conventional smoke detection systems cannot be effective in areas with high ceilings or outdoors

Marketing Applications

1. Counting to understand the demographics, traffic flows and distribution of people

2. Understand the busiest aisles/footpaths to allow appropriate advertising campaigns

Security

1. Theft prevention system to protect internal stealing of expensive materials and stock items

2. Perimeter protection to prevent unauthorized access for restricted zones at all times or after hours

3. Prevent unauthorized access and tailgating during operating hours. Face Recognition and License Plate Recognition systems to ensure access to the right people and vehicles while preventing access to others

4. Surveillance system health check to prevent camera tampering or sabotage

Operations

1. Adhere with fire regulation

2. Better car park management particularly at the loading docks for pickup trucks with the use of counting, License Plate Recognition system, tailgating, wrong way and parking violation detection etc.

3. Monitor whether workers are on-duty which requires the use of the Face Recognition system

Safety (and for law enforcement)

1. Smoke and fire detection since conventional smoke detection cannot be effective in areas with high ceilings

2. Adhere with safety guidelines, e.g., to ensure “safety helmet” is worn by each staff before entering certain areas

3. Detection of water spill

4. Prevent slip and fall

Security

1. Detect and track suspects or criminals accompanied with many-to-many Face Recognition system

2. Detect and track suspicious vehicles

3. Detect stopped vehicles

4. Detect suspicious behaviors including man-down or attack, loitering, running, crowd gathering etc.

5. Perimeter protection along the fence line or intrusion detection at the border, e.g., at land or sea

Operations

1. Monitoring of guard attendance at the mission's critical sites using a Face Recognition system

2. Provide both a real time Video Analysis system along with forensic capabilities to process large pre-recorded video

3. Mobile Video Analysis system that can be easily installed and setup

4. Surveillance system health check to prevent camera tampering or sabotage

Safety

1. Protect air force runways to ensure that they are clear of obstruction

Security

1. Abandoned objects in a crowd

2. Detect theft in a crowd

3. Detect wrong way or unauthorized entry in terms of trespassing

4. Detect Graffiti and vandalism

5. Detect tailgating at gates

6. Detect suspicious behavior

7. Use of the iQ-Hawk and many-to-many Face Recognition systems to automate the law enforcement process to protect staff and customers

8. Detect and track suspects or criminals

9. System health check for camera malfunction or sabotage

Operations

1. People counting and crowd management

2. Queue management and calculation of average waiting time to manage customer satisfaction and service in areas with long queues of people

3. Detect and automate the process to understand the number of taxis at the stand and call for more taxis if the queue for people has grown too much

4. Use of License Plate Recognition to automate vehicle access, particularly for VIPs or senior executives

5. Detect parking violations by using iQ-Hawk and the License Plate Recognition system to automate the law enforcement and fining process for the vehicles that are parked illegally

Safety (and for law enforcement)

1. Detect running/skateboarding/slip and fall

2. Counting & Overcrowding and congestion detection - adhere to safety regulations

3. Smoke and fire detection where conventional smoke detection cannot be effective in areas with high ceilings

Security

1. Abandoned objects on a crowded platform

2. Face Recognition in crowd and in a distance

3. Detection of wrong way or unauthorized entry in terms of trespassing

4. Intrusion detection for tunnel, rail yard or tracks

5. Graffiti and vandalism detection

6. Surveillance health check for any camera malfunction

Operations

1. People counting or crowd management

2. Vending illegal tickets using Face Recognition in a crowd

3. Unauthorized access across the turnstile

4. Prevent beggars/homeless people sleeping at the station

5. Monitor train schedule (License Plate Recognition)

6. Parking violation

7. Track maintenance, e.g., loosen/missing plate at the joint of the track

Safety (and for law enforcement)

1. Platform safety (yellow safety line detection)

2. Detect running/skateboarding/slip and fall on platform

3. Overcrowding and congestion detection

4. Clear of obstruction or detection of left objects

5. Collision prevention at level crossing

6. Smoke and fire detection

7. Confirmation of working safety light on passing trains

8. Detection and recognition of over-speeding

9. Objects protruding from cargo trains using shape detection

10. Smoke and fire detection where conventional smoke detection cannot be effective, such as in areas with high ceilings

Car Park Applications - Applications in iQ Smart City

Security

1. Protect patrons when the car park is fairly deserted

2. Prevent theft of vehicles and property left inside vehicles, e.g., match the authorized driver(s) with the vehicle and alert if an unregistered person is trying to drive the vehicle

3. Identify loitering, particularly persons checking out cars, e.g., by using Face Recognition to track the suspect/criminals in an uncontrollable and crowded environment

4. Detect if someone falls down due to slips or fights

5. Prevent graffiti and vandalism

Operations

1. Increase revenue streams by resetting the meter once vehicles have left. Increase the revenue by understanding the allowed grace period for each vehicle, particularly in the temporary stopping areas without the metering facility

2. Indicate where empty spots are located and guide drivers to the right level and to the right aisle. The same facility can be used to assist car owners to locate their parked car in a huge and multistorey car park environment by entering specific license plate info on a kiosk.

3. Prevent illegal parking in entrances and delivery areas

4. Provision of VIP access

5. Prevent access to blacklisted or unauthorized vehicles

6. Stream the traffic flow by allowing automatic entry for authorized vehicles once the plate information is recognized

7. Enable collection of shopping carts and trolleys left by patrons in a mall

8. Ensure smooth flow of traffic at peak times

9. Prevent tailgating at boom gates

10. Alert the entrances about vehicles that have exceed height and length restrictions

Safety (and for law enforcement)

1. Prevent vehicles travelling in the wrong direction

2. Prevent vehicles travelling at high speed. The generation of tickets and the administration of fines can be automated by using a License Plate Recognition system in combination with iQ-Hawk

3. Smoke and fire detection since conventional smoke detection is usually not effective in areas with high ceilings

4. Surveillance system health check to prevent camera tampering and sabotage


Integrating Big Data

iOmniscient has developed the iQ-Smart City application for intelligent city monitoring and surveillance. These systems based on video and other sensors provide intelligent alarms that enable improved safety, traffic monitoring, crowd management and security for city residents. The data generated from surveillance can be used for further analysis, reporting and forecasting providing city managers and planners with a powerful management tool.

There is a new concept called Big Data management where unstructured data from many systems can be accessed and manipulated to draw out useful information. Traditionally, this has only been possible with text data. Meta data from videos and other sensors (which essentially means the data about the data) can also be managed and manipulated in this way. However, the task is difficult because most meta data is obtained from unintelligent systems and hence, there is a large quantity of meaningless data to be manipulated.

iOmniscient's systems generate so-called Meaningful Meta Data (MMD) which is meta data resulting from preprocessing video to understand the happening in the scene. The more intelligent the Video Analysis, the more meaningful the meta data - and of course iOmniscient prides itself on having the most advanced and intelligent Video Analytics in the industry.

Managing Big Data is not done by iOmniscient itself. iOmniscient works in partnership with the major companies offering Big Data analysis to achieve these objectives. This data can be analyzed to provide further intelligence for cities, to forecast future requirements and to plan and to optimize their resources.

Integrating Big Data - Applications in iQ Smart City
Comprehensive vehicle count weekly report. Big Data analysis can highlight traffic patterns.

For example, event response data from traffic monitoring systems can be used to plan and develop road networks in future, to plan public transport and to manage traffic flows. This can also enable cities to be smarter by reducing congestion and noxious emissions and by improving the quality of the residents' lives. It will be possible for cities to levy congestion taxes and estimate expected revenues based on forecasts of traffic flows in various sections of the city at different times of the day and different days of the week.

Crowd management information can be used to plan the patterns of crowd flows by day of the week, time of day and even seasons of the year. This can be used to improve security, to provide better facilities, such as public toilets and to plan public transport, for example, by re-locating bus stops.

Information on illegally parked vehicles, traffic violations, queues at bus stops and taxi stands can also assist in alleviating congestion providing more resources and enhancing the quality of life for citizens of the city.

The data from event and alarm notifications is intelligent “Big Data” which is produced from a wide range of sources that were hitherto either not available or not easily accessible. Importantly, this is multi-media Big Data, based on video, smell and audio information. Most Big Data from other sources are available as text or, at best, pictures. It is possible to combine the information from multimedia sources with the information from other sources in the organization for deeper insights. For example, traffic volumes and flows can be combined with maintenance records of roads to optimize road maintenance costs.

The knowledge of the ultimate goals and the questions that need to be asked are important for organizations that intend to maximize the value of their investment in Big Data. Then, this results in cost effective solutions that decide their future strategic operational plans. It is important to use this information to provide responses to questions that current, conventional databases cannot answer. The best use of Big Data is to provide high quality insights that have hitherto not been available. The multi-media Big Data from iOmniscient is a breakthrough for companies that have not been able to previously access information from this format.

iOmniscient is able to provide Meaningful Meta Data (MMD) for targeted multimedia Big Data analysis rather than large volumes of random data that have limited usefulness. For example, some companies may provide information on every single vehicle that travels on a road individually. This data has limited value and large computing resources would be required to derive any information of value from it. iOmniscient eliminates the need for large volume computing and storage requirements by providing specific information that can be used effectively.

The analysis of very targeted data is called Fast Data at which some analysis is attempted in close to real time. An example of this is the reading of vehicle license plates on different cameras across the city. If the same plate is seen on different and relatively distant cameras at the same time, it may indicate that one of the plates is fake.

The applications listed above are just some few ones that are available to capture the next level of intelligence from iOmniscient systems.

The analysis of the intelligent information that is available from event and alarm notifications can be used to provide further information that can enable cities to develop medium and long term responses to enhance their safety and amenities and to optimize the utilization of their resources.