Date post: | 22-May-2015 |
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Art & Photos |
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The idea of the project is to replace the manual photo processing by means of the photo image editors with the automatic AI-based processing.
Manual post processingImages processing by an expert(current status of the process)
Defects evaluation
Algorithms selection Processing
Dra
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cks Necessity of the preliminary sorting of the photos by the photographer himself
Long periods of the images processing
Unpredictability of the images processing results
Original image Processed image
Instability of the processing quality (human factor)
Automatic processing with the use of the AI
Frame forming
Algorithms optimization
Frames usage frequency
analysis
AI: frame base optimization
Automatic processing
Client’s images analyzer
All the system units have been repeatedly tested anddebugged on the models. The first prototype operatingon the Web is available (enimor.com). Required is the scaling(supplying the content for the databases and updating thereof)and a complex debugging.
Intended project audience – solvent clients world-wide,interested in the optimal processing of their digital photos service
Number of mobile devices in the world – about 7 billion.
Cost of software application for the adaptive enhancement of photo images taken with the mobile devices – $5.
Potential market – $35 billion.
Provided the market coverage is 3%, the project market volume should be about $1 billion.
Target group
The project is planned to reach breakeven within less than 11 months
Investments required (at the stage of the project scaling only – 12 months):$100 ths. by the equal monthly disbursements
Planned staff
Position Number Salary Total expenditure
ManagementDirector 1 $1000 $1000Accountant 1 $1000 $1000
ProductionProgrammer 3 $1000 $3000
Total: 5 persons $5000 monthly
Within 24 hours, in a continuous stream via one broadband, about 8.5 thousand files be received. A standard automated complex system for the reception, processing and transfer to the clients of the processed files includes one server and 4 specialized processing units, each of which is equipped with 4 Tesla GPUs. The maximum complex system loading is 16 parallel processing channels. Within 24 hours, the complex system can receive, process and send out over 138 thousand maximum size files. The indicative cost of such complex system, including the rental of the server in the data center, power supply and maintenance, is about $50 ths.
Capital outlay (at the middle of stage of the project scaling)
Competitive strengths and outlook
The system functionality allows to eliminate the faults occurring in the photo due to the digital nature of the
shooting, low light conditions, and matrix and lens effect. It differs fundamentally from the services offered at the
software for the mobile devices market: simplified editing; photo retouch and transformation; use of the eye-catching
filters, etc.
Added as an option, at the user’s will, the photo image styling allows to take his taste preferences into account to the fullest
extent. As the selection of the styles is performed automatically depending on the image subject, it allows to
reduce the number of the acceptable alternatives significantly. Only those style alternatives are offered for the user’s choice which provide for the additional showiness and
attractiveness of the image.
Number of mobile devices in the world – about 7 billion.Cost of software application for the adaptive enhancement
of photo images taken with the mobile devices – $5.Potential market – $35 billion.
Provided the market coverage is 3%, the project market volume should be about $1 billion.
The photo image processing and improvement method employed in the system is original and unique, which has been
confirmed by the patents. The technological “groundwork” and know how created by the project development team give
an approximately 2 to 3 years’ time advantage over the potential competitors.