{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854171","patent":{"patent_number":"US-9854171","title":"Image stabilizing apparatus and method based on a predicted movement position","assignee":null,"inventors":[],"filing_date":"2017-02-16T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["G06T","G06T","H04N","H04N","H04N","H04N"],"num_claims":19,"abstract":"Provided are an image stabilizing apparatus and method thereof. The image stabilizing apparatus performs image stabilization by using both an image sensor and a motion sensor. Image distortion and movement are stably corrected by using both the position of a feature point, which is extracted by the image sensor and image processing, and the movement position of the feature point, which is predicted by the motion sensor."},"analysis":{"summary":"The Image Stabilizing Apparatus and Method Based on a Predicted Movement Position patent details a system that improves image stabilization by using both an image sensor and a motion sensor. The core innovation lies in its ability to predict movement based on data from both sensors and then compensate for that movement in real-time. This approach addresses the problem of blurry images and shaky videos caused by camera shake, particularly in dynamic environments.\n\nThe system works by first extracting feature points from the image using the image sensor. Simultaneously, the motion sensor tracks the camera's movement and provides information about its velocity and orientation. This data is then fed into a predictive algorithm that estimates the future position of the feature points. Based on this prediction, the image sensor is adjusted to counteract the anticipated movement, resulting in a stabilized image. This hybrid approach combines the strengths of both image-based and motion-based stabilization techniques.\n\nThe business value of this technology is significant. It can be applied in various industries, including mobile photography, videography, surveillance, and augmented reality. In mobile devices, it can enable users to capture sharper photos and videos, even in low-light conditions or while in motion. For professional videographers, it offers a more compact and versatile alternative to traditional stabilization equipment. In surveillance systems, it can improve the clarity and reliability of video footage, enhancing security and monitoring capabilities. Augmented reality applications can also benefit from this patent, as it can help to reduce motion sickness and improve the overall user experience.\n\nThe market opportunity for this technology is substantial. As camera technology continues to evolve, the demand for effective image stabilization will only increase. This patent provides a solid foundation for future innovations in this field, paving the way for even more advanced and sophisticated image stabilization systems. The integration of AI and machine learning could further enhance the predictive capabilities of the system, leading to even more accurate and reliable image stabilization. The Image Stabilizing Apparatus and Method Based on a Predicted Movement Position represents a significant advancement in image stabilization technology, offering a more effective, efficient, and versatile solution for capturing clear and stable images.","layman_explanation":"The Image Stabilizing Apparatus and Method Based on a Predicted Movement Position patent addresses the common problem of blurry images and shaky videos caused by camera shake. Existing solutions, like optical or electronic image stabilization, often fall short, especially in challenging conditions.\n\nThis technology works by combining two types of sensors: an image sensor (like the one in your phone camera) and a motion sensor (like the one that knows which way your phone is tilted). The image sensor captures the picture, while the motion sensor tracks how the camera is moving. The clever part is that the system uses the motion sensor data to *predict* where the camera is going to move next. Then, it adjusts the image sensor to compensate for that movement, resulting in a much more stable picture. It's like having a tiny, super-fast robot inside your camera that's constantly working to keep the image steady.\n\nThis matters because it can significantly improve the quality of photos and videos, especially in situations where camera shake is a problem. Think about taking pictures while walking, recording a video at a concert, or using a drone camera in windy conditions. This technology can make a big difference in the clarity and stability of the final result. The market impact is considerable, as it can enhance the user experience for a wide range of camera-equipped devices. The competitive advantage lies in the system's ability to predict and compensate for movement more accurately than existing solutions.\n\nFuture applications could include even more advanced image stabilization techniques, such as using artificial intelligence to learn and adapt to different types of camera movement. The market adoption timeline will likely depend on the cost and complexity of implementing the technology in different devices. Investment implications are positive, as the demand for high-quality images and videos is expected to continue to grow.","technical_analysis":"The Image Stabilizing Apparatus and Method Based on a Predicted Movement Position patent presents a hybrid image stabilization system that leverages both image sensor data and motion sensor input. The system aims to mitigate the effects of camera shake and motion blur by predicting and compensating for movement in real-time.\n\nThe technical architecture consists of several key modules. First, the image sensor captures the raw image data. Simultaneously, the motion sensor, typically an accelerometer or gyroscope, measures the camera's angular velocity and acceleration. A feature extraction module then identifies salient feature points within the image. These feature points serve as reference points for tracking movement.\n\nThe core of the innovation lies in the motion prediction module. This module uses the motion sensor data to estimate the future position of the feature points. The prediction algorithm typically employs Kalman filtering or other state estimation techniques to fuse the motion sensor data with the historical positions of the feature points. This fusion helps to reduce noise and improve the accuracy of the prediction.\n\nBased on the predicted movement, the image compensation module adjusts the image sensor or lens to counteract the anticipated motion. This compensation can be achieved through various means, such as shifting the image sensor, tilting the lens, or applying digital image warping. The specific implementation depends on the hardware capabilities of the camera system.\n\nThe integration patterns are crucial for achieving optimal performance. The system requires tight synchronization between the image sensor, motion sensor, and processing modules. The data must be processed in real-time to minimize latency and ensure accurate compensation. The performance characteristics of the system are also critical. The accuracy of the motion prediction module directly affects the quality of the stabilized image. The system must be robust to noise and variations in lighting conditions.\n\nFrom a code-level perspective, the implementation typically involves a combination of signal processing, computer vision, and control algorithms. The feature extraction module may use algorithms such as SIFT or SURF to identify feature points. The motion prediction module requires careful implementation of Kalman filtering or other state estimation techniques. The image compensation module involves precise control of the image sensor or lens actuators.","business_analysis":"The Image Stabilizing Apparatus and Method Based on a Predicted Movement Position patent presents a significant business opportunity in the image stabilization market. The market opportunity size is substantial, driven by the increasing demand for high-quality images and videos in various industries.\n\nThe competitive advantages of this technology lie in its hybrid approach, combining image-based and motion-based stabilization techniques. This approach offers a more robust and effective solution than traditional methods, which often rely solely on optical or electronic stabilization. The predictive capabilities of the system also provide a competitive edge, allowing for more accurate and efficient compensation for camera shake.\n\nThe revenue potential for this technology is significant. It can be licensed to mobile device manufacturers, camera companies, surveillance system providers, and augmented reality developers. The business models can include licensing fees, royalties, and product sales. Strategic positioning is crucial for maximizing the market opportunity. The patent holder should focus on building strong relationships with key industry players and establishing a strong brand reputation.\n\nThe ROI projections for this technology are promising. The initial investment in research and development can be recouped through licensing fees and product sales. The long-term revenue potential is substantial, driven by the growing demand for image stabilization technology. The market is driven by the proliferation of camera-equipped devices and the increasing importance of high-quality visual content. The demand for image stabilization is expected to continue to grow in the coming years.\n\nThis patent holds significant value for investors looking for innovative technologies in the imaging space. The hybrid approach offers a more robust and effective solution than traditional methods, providing a competitive edge in the market. The growing demand for image stabilization ensures a long-term revenue potential. Investors should consider the strategic positioning of the patent holder and their ability to build strong relationships with key industry players.","faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Image stabilizing apparatus and method based on a predicted movement position","description":"Provided are an image stabilizing apparatus and method thereof. The image stabilizing apparatus performs image stabilization by using both an image sensor and a motion sensor. Image distortion and mov","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854171","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-9854171","citation_suggestion":"Patentable. \"Image stabilizing apparatus and method based on a predicted movement position\" (US-9854171). https://patentable.app/patents/US-9854171","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854171","json":"https://patentable.app/api/llm-context/US-9854171","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T21:44:33.295Z"}