Automated Login via Virtual Keypad Image Decoding
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Solution Overview
Problem
Conventional automated login systems for accessing password-protected Web sites are hindered by bot-limiting technologies such as virtual keypad interactive images, which prevent software agents from successfully logging in due to the complexity of deciphering distorted and randomly located characters.
Innovation Solution
A system that employs a software agent with an image processor, optical character recognizer, and image data encoder and decoder to navigate and decode virtual keypad images, allowing for automated login by capturing keystrokes and identifying character locations within the keypad image, thereby enabling efficient access to multiple client-subscribed Web sites without compromising security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If virtual keypad interactive images with distorted and randomly located characters are used for authentication, then security against automated login is improved, but automated login capability deteriorates
Solution Approach 1:
The patent introduces an intermediary system consisting of image processing software and optical character recognition (OCR) technology that mediates between the virtual keypad interface and the automated login process. This intermediary captures the keypad image, processes it to locate and identify characters, and translates it into actionable keystroke information, thereby enabling automated login while preserving the security benefits of the virtual keypad interface
Solution Approach 2:
The patent replaces the manual mechanical interaction required by virtual keypads (visual inspection and manual clicking) with an automated optical-mechanical system. The system uses image capture devices to photograph the keypad, optical character recognition to identify characters, and automated keystroke injection to input credentials, thereby substituting the manual mechanical process with an automated optical-based system that can decipher distorted and randomly located characters
2Object-affected harmful factors
If CAPTCHA and virtual keypad interfaces are implemented to prevent bot access, then protection against automated access is improved, but data aggregation efficiency deteriorates
Solution Approach 1:
The patent introduces an intermediary system consisting of image processing software and optical character recognition (OCR) technology that mediates between the virtual keypad interface and the automated login process. This intermediary captures the keypad image, processes it to locate and identify characters, and translates it into actionable keystroke information, thereby enabling automated login while preserving the security benefits of the virtual keypad interface
Solution Approach 2:
The patent replaces the manual mechanical interaction required by virtual keypads (visual inspection and manual clicking) with an automated optical-mechanical system. The system uses image capture devices to photograph the keypad, optical character recognition to identify characters, and automated keystroke injection to input credentials, thereby substituting the manual mechanical process with an automated optical-based system that can decipher distorted and randomly located characters
3Reliability
If clients must manually decipher and enter credentials on virtual keypads, then security validation is improved, but ease of operation deteriorates
Solution Approach 1:
The patent implements self-service by enabling the system to automatically perform the credential entry process without human intervention. The image processing and OCR system autonomously captures the virtual keypad image, identifies the required characters, determines their locations, and inputs the credentials through automated keystroke injection, thereby eliminating the need for manual deciphering and entry while maintaining security validation
Solution Approach 2:
The patent replaces the manual mechanical interaction required by virtual keypads (visual inspection and manual clicking) with an automated optical-mechanical system. The system uses image capture devices to photograph the keypad, optical character recognition to identify characters, and automated keystroke injection to input credentials, thereby substituting the manual mechanical process with an automated optical-based system that can decipher distorted and randomly located characters
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables fully automated and efficient login to Web sites using bot-limiting technology, allowing clients to retrieve information from a single interface by accurately processing and entering credentials on virtual keypad images, thus overcoming the limitations of CAPTCHA and virtual keypad interfaces.
Implementation Method 1
an optical character recognizer, and an image data encoder and decoder
Data Source
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AI summary
A system for performing an automated network-based login procedure on an interactive keypad image includes a software agent executable from a digital medium connected to the network for navigating to a login page, accessing the keypad image, and performing an automated login, and an automated login support application executable from the same or a different digital medium connected to the network, the support application including at least an image processor, an optical character recognizer, and an image data encoder and decoder. The software agent performs a login at the virtual keypad image based on character image matching and location information acquisition for each character of a client' s specific set of credential characters included in the image of the keypad.