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

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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.