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Case Study

Smart cities, parkings and other public Spaces

Smart cities, parkings and other public Spaces

A typical implementation starts with training workshops on the used methodology. Based on this, the User Interphase and final implementation will be modelled.

After these initial workshops, the actual technical training will be done. The installation, configuration and use of the technology will be explained, followed by the first installation in a testing environment.

Finally, taking all the user comments into account, a final production environment will be created for all future installations.

Video and Sound
Streaming Solutions

Room40 has partnered with Nokia to deliver a state of the art scalable real time Video-and Sound Streaming solution. As an example the following real life situations are currently identified. In collaboration with future users other solutions can be implemented using adaptations on the existing applications.

workshop summary
  • Workshop 1
    • Kickoff & situational awarenes
  • Workshop 2
    • Introduction OODA-loop
  • Workshop 3, 4 en 5
    • Technical sessions (video, sound and text)
  • Workshop 6
    • Testing environment and provisional acceptance
  • Workshop 7
    • Production environment and final acceptance

A typical implementation starts with training workshops on the used methodology. Based on this, the User Interphase and final implementation will be modelled.

After these initial workshops, the actual technical training will be done. The installation, configuration and use of the technology will be explained, followed by the first installation in a testing environment.

Finally, taking all the user comments into account, a final production environment will be created for all future installations.

Document and
Text Streaming Solutions

Room40 has partnered with Intuview to deliver a state of the art
text analysis solution using Artificial intuition.

The core of the technology is a patented (in the US and Israel) method for integrating statistical algorithms with ontological based input, to imitate processes of human-reading of texts. The combined knowledge of seasoned subject matter experts regarding texts of the same domain used in training are applied to the processed texts through algorithms. This method is called “Artificial Intuition”.

A human reaches “intuitive” conclusions – even by superficial reading – regarding the authorship and intent of a given text, subconsciously deriving them from previous experiences with similar texts or from linguistic knowledge relevant to the text. Then as the human accumulates more information through other features (statements, spelling, and references) in the text, he either strengthens his confidence in the initial interpretation or changes it.

Fencing algorithms
 & Object classification

Detect cars & trucks entering a parking area or other zone

Tripwire algorithms & 
Object classification

Count vehicles or people crossing a line or area

Anomaly detection & 
People filtering

Detect a group of people assembling in a scene for a specified period of time.

Video Analytics
 & Anomaly detection
  • Detect panic (crowd runs in multiple directions)
  • Detect a sudden explosion by means of density anomaly
  • Detect obstacles by means of a dwell anomaly
  • Detect fast drivers in traffic situations by means of a velocity anomaly
  • Detect cars taking a wrong way or turn in traffic situations by means of direction anomaly

Other situations such as detection of oversized vehicles, stalled car, debris or animals on the roadway and measuring traffic density are also possible.

Fencing algorithms & 
Object classification

Detect and localise someone breaking a car/truck’s window to generate an alert

Tripwire algorithms
 & Object classification

Detect and localise a car alarm going off to generate an alert

Anomaly detection
 & People filtering

Detect aggressive behaviour to generate an alert

Other situations allowing for a stand alone sound solution to generate events and anomalies are also possible. Specific automated sound recognition can be provided when sufficient sound examples are available for the machine learning algorithms.

Using social media text streams to detect for events such as accident, traffic jams, etc in a specific region.

Using social media text streams to detect the sentiment of the population surrounding an event or incident in a specific region

Using Video analytics and open ANPR software to recognise license plates.

Detect and localise an intruder climbing over a fence to berate an alert.

Detect and localise someone cutting open a truck/trailor’s cove to generate an alert.

Further Integration of the analytic algorithms into the Room40/Nokia platform for a more unified UI and intuitive incorporation of technologies.

Event generation through analysis of social media text streams and integration of events into Room40/Nokia solution.