LIDAR-Guided Check Imaging for Remote Deposit Capture
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Solution Overview
Problem
Current remote deposit systems require users to place checks on high contrast surfaces or hold them steady for image capture, leading to inefficiencies and potential poor quality imagery, which consumes system resources and can lead to duplicate presentations or fraud.
Innovation Solution
Utilizing LIDAR technology to determine the distance and orientation of a check in real-time, enabling continuous image capture and processing through a mobile device, allowing for high-quality image generation and data extraction directly from a live video stream without requiring a high contrast surface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users place checks on high contrast surfaces for image capture, then image quality is improved, but user convenience and processing efficiency deteriorate
Solution Approach 1:
The patent replaces the mechanical requirement of placing checks on high contrast surfaces with an optical system using LIDAR technology. The LIDAR sensor emits laser pulses and detects reflected light to automatically determine check position, orientation, and distance, eliminating the need for manual surface placement while maintaining image quality through automated focal distance adjustment.
Solution Approach 2:
The patent introduces LIDAR technology as an intermediary between the user and the image capture process. The LIDAR sensor acts as a mediator that automatically measures check characteristics and communicates this data to the camera system, enabling the camera to automatically adjust focal distance and capture quality images without user intervention regarding surface placement.
2Manufacturing precision
If users hold checks steady for image capture, then image quality is improved, but processing time and productivity deteriorate
Solution Approach 1:
The patent transitions from a static image capture process to a dynamic continuous video stream approach. The camera continuously captures video frames while the LIDAR sensor continuously tracks check position and orientation, allowing the system to process multiple frames and select the best quality images automatically, thereby improving both image quality and processing efficiency.
Solution Approach 2:
The patent implements continuous video streaming and continuous LIDAR monitoring instead of discrete snapshot captures. This continuous action allows the system to accumulate multiple image frames over time, automatically select high-quality frames, and process them for data extraction, eliminating the need for users to manually hold checks steady while maintaining high productivity.
3Reliability
If multiple images are captured to ensure quality, then image quality reliability is improved, but system resource consumption and time loss worsen
Solution Approach 1:
The patent implements a feedback mechanism where the LIDAR sensor continuously provides information about check position, orientation, and distance to the image processing system. This feedback allows the system to real-time assess image quality potential and automatically adjust capture parameters, enabling single-frame or multi-frame capture based on actual conditions rather than predetermined sequences, thereby reducing time loss while maintaining reliability.
4Measurement precision
If LIDAR technology is used for real-time distance determination, then measurement precision is improved, but device complexity worsens
Solution Approach 1:
The patent leverages the universality of LIDAR technology, which is already integrated into many modern mobile devices for other functions such as autofocus, depth sensing, and augmented reality. By utilizing this existing component for check detection and distance measurement, the patent adds sophisticated measurement capability without significantly increasing overall device complexity, as the LIDAR sensor serves multiple purposes within the same system.
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
Improves the likelihood of processing quality imagery in poor lighting conditions, reduces resource consumption, enhances user experience, and minimizes instances of poor quality imagery, while providing real-time data extraction and fraud prevention.
Implementation Method 1
LIDAR, an acronym of 'light detection and ranging' or 'laser imaging, detection, and ranging' is a method for determining distance, or ranges of distances, by targeting an object or a surface with a laser and measuring the time for reflected light to return to the receiver
Implementation Method 2
measuring the time for reflected light to return to the receiver
Data Source
AI summary
A computer implemented method, system, and non-transitory computer-readable device that may be used in a remote deposit environment. Upon receiving a user request, based on interactions with the UI, the method implements an electronic deposit of a financial instrument by activating a camera on the client device to generate a LIDAR managed live video stream of image data of a field of view of at least one camera, wherein the live video stream includes high quality confidence scored imagery of at least a portion of each side of the financial instrument. The method continues by extracting data fields based on the formation of image objects of each side of the financial instrument from the live video stream of image data. The extracted data fields are communicated to a remote deposit server to complete the remote deposit.