{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854170","patent":{"patent_number":"US-9854170","title":"Rolling shutter blur reduction using motion data","assignee":null,"inventors":[],"filing_date":"2015-12-29T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04N","H04N","H04N"],"num_claims":18,"abstract":"Embodiments relate to adjusting an image frame based on motion sensor data. An image frame including image data for a plurality of rows of the image frame is captured sequentially row-by-row. Motion sensor data corresponding to the image frame is also captured. Motion vectors describing motion between each row of the image frame are determined based on the motion sensor data. An image data translation is calculated for each row of image frame based on the motion vector for the row. The image frame is adjusted based on the image data translation for each row of the image frame to generate an adjusted image frame."},"analysis":{"summary":"The Rolling Shutter Blur Reduction Using Motion Data patent addresses the pervasive issue of image distortion caused by the rolling shutter effect in digital cameras. The core innovation lies in leveraging motion sensor data to dynamically adjust the image frame, effectively counteracting blur induced by camera or object movement during sequential image capture. This technology solves the problem of distorted and blurry images, particularly noticeable in high-speed photography and videography, where either the camera or the subject is in rapid motion. The key technical approach involves integrating motion sensors (accelerometers, gyroscopes) with the camera system to capture real-time motion data. This data is then processed to generate motion vectors, which are used to calculate and apply image data translations on a row-by-row basis, compensating for the motion-induced distortions. The business value of this innovation is significant, as it enables the production of clearer, more stable images and videos across a range of applications. This includes enhancing the performance of smartphone cameras, improving the quality of drone footage, and enabling more accurate image capture in autonomous vehicles and surveillance systems. The market opportunity is substantial, driven by the increasing demand for high-quality imaging in various consumer and industrial sectors. This technology offers a competitive advantage by providing a robust and efficient solution to the rolling shutter problem, paving the way for enhanced image capture capabilities in diverse applications. By accurately compensating for motion, this patent unlocks new possibilities for capturing and sharing visual information with greater clarity and precision.","layman_explanation":"The Rolling Shutter Blur Reduction Using Motion Data patent addresses a common problem in digital cameras and smartphones: blurry images when taking pictures or videos of moving objects. This blur is caused by the way many cameras capture images – by scanning the scene from top to bottom, rather than capturing the entire image at once. This scanning process, called a rolling shutter, can lead to distortions and blur, especially when the camera or the subject is in motion. \n\nThis patent solves this problem by using motion sensors, similar to those found in smartphones, to track the movement of the camera while the image is being captured. The motion sensor data is then used to adjust the image, effectively compensating for the motion and reducing the blur. Think of it like this: imagine you're trying to draw a straight line on a moving piece of paper. If you know how the paper is moving, you can adjust your drawing to compensate for the movement and create a straight line. This patent does something similar, but for images.\n\nThis technology matters because it can significantly improve the quality of images and videos captured by smartphones, drones, and other devices. Sharper images and smoother videos are more appealing to consumers and can enhance the user experience. The market opportunity for this technology is substantial, as it can be applied to a wide range of devices and applications. The competitive advantages stem from the ability to provide a more effective solution to the rolling shutter problem than existing methods. The potential ROI is high, as the technology can increase the value of imaging devices and create new market opportunities.\n\nIn the future, this technology could be further refined to improve its accuracy and efficiency. It could also be integrated with other image processing techniques to create even more advanced imaging capabilities. The market adoption timeline will depend on the willingness of camera manufacturers and smartphone vendors to incorporate this technology into their products. Investment implications are positive, as this technology has the potential to generate significant returns for investors.","technical_analysis":"The Rolling Shutter Blur Reduction Using Motion Data patent presents a sophisticated technical solution to mitigate the adverse effects of rolling shutter in image sensors. The fundamental technical architecture involves a tightly integrated system comprising a CMOS image sensor, a motion sensor unit (typically incorporating accelerometers and gyroscopes), and a dedicated processing unit. The CMOS sensor captures image data sequentially, row by row, while the motion sensor unit simultaneously gathers real-time motion data. The processing unit, which may be implemented in hardware (e.g., FPGA, ASIC) or software (e.g., embedded processor), is responsible for correlating the motion data with the image data. This involves sophisticated algorithms to determine motion vectors, which represent the displacement of each row of the image during the capture period. A critical aspect of the implementation is the precise synchronization between the image sensor and the motion sensor. Any timing discrepancies or latency can introduce errors in the motion estimation, leading to suboptimal blur reduction. The motion vector estimation algorithm typically employs sensor fusion techniques to combine the data from multiple motion sensors, thereby improving accuracy and robustness. The algorithm also incorporates noise filtering and outlier rejection mechanisms to minimize the impact of sensor imperfections. Once the motion vectors are determined, an image data translation is calculated for each row. This translation effectively shifts the row to compensate for the estimated motion. The implementation of this translation can involve various techniques, such as pixel interpolation or sub-pixel rendering, to minimize artifacts and maintain image quality. The performance characteristics of the system are heavily influenced by the computational complexity of the motion estimation and image translation algorithms. Real-time performance requires efficient implementations and optimized data structures. Code-level implications include the need for highly optimized routines for sensor data acquisition, motion vector calculation, and image data manipulation. Furthermore, the integration of this technology into existing camera systems requires careful consideration of power consumption, memory footprint, and thermal management.","business_analysis":"The Rolling Shutter Blur Reduction Using Motion Data patent represents a significant business opportunity within the imaging technology market. The market opportunity size is substantial, driven by the increasing demand for high-quality image and video capture across various sectors, including mobile devices, drones, automotive, surveillance, and virtual reality. The competitive advantages offered by this technology stem from its ability to effectively mitigate the rolling shutter effect, a common source of image distortion in CMOS sensors. This results in sharper, more stable images and videos, which can be a key differentiator for products incorporating this technology. The revenue potential is considerable, as the technology can be licensed to camera manufacturers, smartphone vendors, and other imaging system providers. Business models can include upfront licensing fees, royalty payments based on unit sales, or subscription-based access to the technology. Strategic positioning involves targeting markets where image quality is paramount, such as high-end smartphones, professional video cameras, and autonomous vehicles. The technology can also be integrated into existing imaging pipelines, providing a cost-effective upgrade for existing products. ROI projections are favorable, as the technology can significantly enhance the value proposition of imaging devices, leading to increased sales and market share. The implementation of this technology also unlocks new market opportunities. For instance, the improved image quality in drones can enable more accurate aerial surveys and inspections. In autonomous vehicles, the technology can enhance the reliability of object detection and navigation systems. Overall, the Rolling Shutter Blur Reduction Using Motion Data patent presents a compelling business case, with a large market opportunity, clear competitive advantages, and significant revenue potential. Early adoption of this technology can provide a substantial competitive edge in the rapidly evolving imaging technology landscape.","faqs":null,"topics":["rolling shutter reduction","image blur","motion compensation","image stabilization","CMOS sensor"],"tech_cluster":null},"seo":{"title":"Rolling Shutter Blur Reduction - Patent US-9854170","description":"Discover how Rolling Shutter Blur Reduction Using Motion Data reduces image distortion. Full patent analysis, claims, and technical details.","keywords":["rolling shutter reduction","image blur","motion compensation","image stabilization","CMOS sensor","patent","patent US-9854170"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854170","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9854170","citation_suggestion":"Patentable. \"Rolling shutter blur reduction using motion data\" (US-9854170). https://patentable.app/patents/US-9854170","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854170","json":"https://patentable.app/api/llm-context/US-9854170","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T06:11:25.782Z"}