Photography Session Assistant Real-Time Image Evaluation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Photographers face challenges in ensuring that a set of images taken during a photography session meets specific requirements, leading to inefficiencies and additional costs due to the need for re-shooting or scheduling make-up sessions.
Innovation Solution
A photography session assistant system that evaluates images in real-time against specified criteria, indicating which images meet requirements and suggesting additional shots needed, thereby optimizing the session and reducing unnecessary image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple images are taken for each required photograph to ensure quality and coverage of criteria, then the likelihood of capturing satisfactory images increases, but the total number of images increases making it difficult and time-consuming to determine whether requirements are met and to select images for the order package
Solution Approach 1:
The system provides real-time feedback to the photographer by automatically evaluating captured images against required criteria and indicating which criteria are satisfied. This feedback mechanism allows the photographer to know immediately whether requirements are met without manually reviewing all images, thus maintaining high reliability while reducing time consumption.
Solution Approach 2:
The system performs self-evaluation of captured images by automatically detecting features and comparing them against required criteria. This self-service capability eliminates the need for the photographer to manually analyze each image, thereby maintaining reliability through comprehensive evaluation while significantly reducing the time required to determine whether requirements are met.
2Manufacturing precision
If photographers manually analyze and critique each image to ensure requirements are met, then image quality control improves, but the photographer's time is consumed and they cannot engage the subject effectively
Solution Approach 1:
The image evaluation system performs automatic quality control by detecting features and comparing them against required criteria without requiring photographer intervention. This self-service approach maintains high manufacturing precision through systematic evaluation while freeing the photographer to focus on engaging the subject, thereby improving productivity.
Solution Approach 2:
The system replaces the manual mechanical process of photographer analysis with an automated computational evaluation system. This substitution maintains rigorous quality control through consistent application of criteria while eliminating the time cost of manual review, allowing the photographer to maintain high engagement efficiency.
3Ease of operation
If photographers do not follow the specified order due to being busy engaging the subject, then session flow and subject engagement improve, but it becomes difficult to determine if all required photographs are captured while the session is still active
Solution Approach 1:
The system provides continuous feedback to the photographer by automatically tracking which required criteria have been satisfied and which remain pending. This feedback mechanism allows the photographer to maintain flexible session flow while having real-time awareness of completion status, preventing loss of information about required photographs.
Solution Approach 2:
The system performs automatic tracking of required photographs by evaluating each captured image against the specification. This self-service tracking eliminates the need for manual monitoring, allowing the photographer to follow a natural session flow while the system independently maintains accurate information about which requirements have been met.
Data Source
AI summary
Devices and methods for evaluating at least one photograph during a photography session are described. In some instances, a camera may be used to capture images during a photography session and a computing device may be used to identify a portrait order specification for the photography session including a set of required photographs, each having associated required criteria. The computing device may evaluate the images and determine whether the images can be associated with any of the required photographs based on features included in the images being associated with the required criteria of the required photographs. The images associated with required photographs may be displayed, and a determination of whether the images qualify as a required photograph may be made using a graphical user interface, or may be made automatically.


