Rail Vision has a total of 55 patents globally, out of which 10 have been granted. Of these 55 patents, more than 78% patents are active. United States of America is where Rail Vision has filed the maximum number of patents, followed by China and Europe, it has generated an annual revenue of $15.5 billion in the year 2021. Parallelly, United States of America seems to be the main focused R&D center of Rail Vision. The IPO has been released on 31st March, 2022.
Rail Vision was founded in the year 2015 by Elen Katz. Company is doing business in train safety security maintenance and accident preventing on the rail track.
Do read about some of the most popular patents of Rail Vision which have been covered by us in this article and also you can find Rail Vision’s patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over Rail Vision’s patent portfolio.
How many patents does the founder and the CEO of Rail Vision have?
The founder, Elen Katz has 1 patents. The CEO, Shahar Hania has 5 patents.
How many patents does Rail Vision have?
Rail Vision has a total of 55 patents globally. These patents belong to 14 unique patent families. Out of 55 patents, 43 patents are active.
How Many Patents did Rail Vision File Every Year?
Are you wondering why there is a drop in patent filing for the last two years? It is because a patent application can take up to 18 months to get published. Certainly, it doesn’t suggest a decrease in the patent filing.
| Year of Patents Filing or Grant | Rail Vision Applications Filed | Rail Vision Patents Granted |
| 2014 | 6 | – |
| 2015 | – | – |
| 2016 | 1 | – |
| 2017 | 11 | – |
| 2018 | 8 | 1 |
| 2019 | 22 | 1 |
| 2020 | 3 | 1 |
| 2021 | 4 | 6 |
| 2022 | – | 1 |
How many Rail Vision patents are Alive/Dead?
Worldwide Patents
Patent Families
How Many Patents did Rail Vision File in Different Countries?
Countries in which Rail Vision Filed Patents
| Country | Patents |
| United States Of America | 12 |
| China | 9 |
| Europe | 9 |
| Japan | 8 |
| India | 6 |
| Denmark | 1 |
| Germany | 1 |
| Hong Kong (S.A.R.) | 1 |
Where are Research Centers of Rail Vision Patents Located?
10 Best Rail Vision Patents
WO2020012475A1 is the most popular patent in the Rail Vision portfolio. It has received 8 citations so far from companies like Siemens and Chengdu China Rail Track Equipment.
Below is the list of 10 most cited patents of Rail Vision:
| Publication Number | Citation Count |
| WO2020012475A1 | 8 |
| CN112351928A | 2 |
| CN110062727A | 2 |
| CN108446643A | 2 |
| WO2017130206A1 | 2 |
| US10654499B2 | 1 |
| CN105636853B | 1 |
| WO2018073778A9 | 1 |
| JP2019537534A | 1 |
| JP2019503302A | 1 |
What Percentage of Rail Vision US Patent Applications were Granted?
Rail Vision (Excluding its subsidiaries) has filed 12 patent applications at USPTO so far (Excluding Design and PCT applications). Out of these 5 have been granted leading to a grant rate of 83.33%.
Below are the key stats of Rail Vision patent prosecution at the USPTO.
Which Law Firms Filed Most US Patents for Rail Vision?
| Law Firm | Total Application | Success Rate |
| Pearl Cohen Zedek Latzer Baratz Llp | 12 | 83.33% |
List of Rail Vision Patents
| Rail Vision Patents | Title |
| US11242018B2 | System and method for multiple and dynamic meteorological data sources |
| US20220024501A1 | System and method for object and obstacle detection and classification in collision avoidance of railway applications |
| US20210279488A1 | Method and system for railway obstacle detection based on rail segmentation |
| US20210197875A1 | System and method for detection of defects in an electric conductor system of a train |
| US20210191729A1 | System and method for high throughput in multiple computations |
| US11021177B2 | System and method for object and obstacle detection and classification in collision avoidance of railway applications |
| US20210155273A1 | Light weight and low f number lens and method of production |
| US20210107536A1 | System and method for dynamic selection of high sampling rate for a selected region of interest |
| US10967891B2 | System and method for detection of defects in an electric conductor system of a train |
| US10942746B2 | System and method for high throughput in multiple computations |
| US20200413036A1 | System and method for built in test for optical sensors |
| US10654499B2 | System and method for utilizing an infra-red sensor by a moving train |
| EP3787953A4 | System and method for dynamic selection of high sampling rate for a selected region of interest |
| EP3759909A4 | System and method for built in test for optical sensors |
| EP3746414A4 | Light weight and low f-number lens and method of production |
| EP3027482B1 | System and method for obstacle identification and avoidance |
| EP3676710A4 | System and method for high throughput in multiple computations |
| EP3820760A1 | Method and system for railway obstacle detection based on rail segmentation |
| EP3673303A4 | System and method for multiple and dynamic meteorological data sources |
| EP3529123A4 | System and method for object and obstacle detection and classification in collision avoidance of railway applications |
| EP3408158A4 | System and method for detection of defects in an electric conductor system of a train |
| CN113788046A | Systems and methods for detecting defects in electrical conductor systems of trains |
| CN112351928A | Method and system for railway obstacle detection based on rail segmentation |
| CN112118993A | System and method for dynamic selection of high sampling rate for a selected region of interest |
| CN111919438A | System and method for built in test for optical sensors |
| CN111757857A | Light weight and low f-number lens and method of production |
| CN110062727A | System and method for object and obstacle detection and classification in collision avoidance of railway applications |
| CN109070915A | System and method for detection of defects in an electric conductor system of a train |
| CN108446643A | Method for obstacle identification |
| CN105636853B | And for avoiding the obstacle recognition system and method |
| WO2020012475A1 | Method and system for railway obstacle detection based on rail segmentation |
| WO2019211848A1 | System and method for dynamic selection of high sampling rate for a selected region of interest |
| WO2019167044A1 | System and method for built in test for optical sensors |
| WO2019145961A1 | Light weight and low f-number lens and method of production |
| WO2018073778A9 | System and method for object and obstacle detection and classification in collision avoidance of railway applications |
| WO2019043710A1 | System and method for high throughput in multiple computations |
| WO2019038759A1 | System and method for multiple and dynamic meteorological data sources |
| WO2017130206A1 | System and method for detection of defects in an electric conductor system of a train |
| JP2021530388A | Method and system for detecting railway obstacles based on rail segmentation |
| JP2021517537A | System and method for dynamic selection of high sampling rates for selected region of interest |
| JP2021515482A | System and method for the built-in test of optical sensors |
| JP2021511550A | Lightweight and Low F Lens and Methods of Manufacturing Its |
| JP2020532795A | Systems and methods for high throughput in multiple computations |
| JP2019537534A | System and method for detecting and classifying objects and obstacles in collision avoidance for railway applications |
| JP2019503302A | System and method for defect detection in train electrical conductor system |
| JP6466933B2 | Obstacle identification and avoidance system and method |
| DE602014080163T2 | System and method for identifying and avoiding obstacles |
| HK40001258A | System and method for detection of defects in an electric conductor system of a train |
| DK3027482T3 | System and procedure for identifying and avoiding obstacle |
| IN202147004607A | Method and system for railway obstacle detection based on rail segmentation |
| IN202047051039A | System and method for dynamic selection of high sampling rate for a selected region of interest |
| IN202047041181A | System and method for built in test for optical sensors |
| IN202047036745A | Light weight and low f-number lens and method of production |
| IN201947019530A | System and method for object and obstacle detection and classification in collision avoidance of railway applications |
| IN201847032279A | System and method for detection of defects in an electric conductor system of a train |