Technical feasibility


SECTION I: Testing



Has the R & D result been tested?






The following question is replied according to the reply in question 1


If yes



In what mode has the result been tested?

•             Prototype

•             Pilot Application

•             Alpha/BETA testing


At the current level of development, the software is available on PC/Windows platform and has been tested in a laboratory context and during some “on the field” trials. The trials have been performed installing a system (camera, PC and algorithms) near a highway toll station. This is the reason why the R&D result is considered at a prototype level even if it has been fully tested in a subset of environment conditions.


1b. Please describe and discuss the testing result
The software has been positively tested in the laboratory and during field trials. The functionality of the algorithm is satisfactory in normal traffic conditions and under not adverse lighting.

The research result need to be tested in real operation conditions and in connection with some critical conditions that may affect the performances. In fact. when queues are formed by heavy traffic some problems may arise in the performance of the algorithms due to the difficult of resolving different vehicles standing at a very short distance one from another. A similar problem may arise during sun set or sun rise periods when the long shadows may “fuse” the shapes of different vehicles.


If no:



Describe what type of testing does the R&D result need?




1d. What is the time needed for testing?
1e. What is the cost needed for testing?


SECTION 2: Current Stage of Development



To what extent does the development team have technical resources for supporting the production of a new product? (Researchers, human resources, hardware, etc. )
In this case of  the research result is an algorithm. The algorithm need to be integrated in an hardware (PC + cameras) to become an application.

In the case of road traffic monitoring there are mainly two possibilities: install a dedicated system (PC + algorithms + dedicated cameras) or integrate the algorithms in a legacy system already deployed. In the latter case, some constraints have to be verified to ensure the compatibility with the algorithms. One of them is the frame rate that should not be less than 20 fps.  Currently, the system is using IP cameras connected by means of Ethernet. That guarantees the necessary bandwidth to transmit the required frame rate. Another issue may be represented by the field of view used by the cameras.


In any case, some engineering activities focused on the points mentioned before are needed to make the algorithm sellable. The needed effort is about 3-6-months for a researcher/engineer.

A further market need is represented by the possibility to correlate information coming from different cameras to infer some results. At the moment the algorithm works on a single video flow and many instances of the algorithm may run simultaneously but the without any integration of the outputs.

To obtain a system which correlates different sources, an additional effort should be spent and it is in the range of  3-6-months for a researcher/engineer.

The research team has the necessary knowledge and experience to support the finalization of a product but currently the resources are not allocated to the project.




What are the technical issues that need to be tackled for full deployment, if needed?
Mostly, the technical effort should be focused on validating/optimizing the performance in some “extreme” conditions as explained at point 1b. In a second step,  it is necessary to build an extra application able to manage different video sources and correlate the outputs of the algorithms.




What additional technical resources are needed for the production of this new product?
About the engineering activities focused on the points mentioned at point 2a, the needed effort is about 3-6-months for a researcher/engineer.

the without any integration of the outputs.

In the case of multiple video sources, an additional effort in the order of  3-6-months for a researcher/engineer is needed.




Overall assessment of the current stage of technical development.
The steps needed to complete the development are mainly about some engineering activities followed by test and validation activities. The test and validation activity provides a feedback to developers for bug fixing, performance and robustness improvements.

Provided that the research result is an algorithm that need some extra validation, and given the applicable resources and the experience of the team, it can be stated that the R&D result is in a advanced stage of development.


SECTION 3: Deployment


Define the demands for large scale production in terms of
  • Materials
Negligible for the research result, the application in a product has to be made in co-operation with a third party responsible for the integration/installation. The materials may be categorized as electronic equipments (mostly COTS PCs and cameras).


  • technologies, tools, machineries
As for the previous point.




  • Staff effort
Given the integration on a system made before the deployment, the staff may be involved in some “after sales” activities as bug fixing or some tuning or tutoring for the final customer.




SECTION 4: Overall Assessment



What is you overall assessment of the technical feasibility of the research result?
The remaining activities are about engineering, using COTS hardware, and tune the software in reasonably defined conditions.

In the case described at point 2a, few man months are necessary to reach a commercial stage.

Provided the completion of the engineering/validation, the the level of confidence about feasibility is considered good.




Please put X as appropriate. 1 2 3 4 5
Adequacy of testing activity undertaken so far     X    
Adequacy and availability of technical resources of the development team     X    
Current development stage     X    
Overall technical feasibility       X  

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