Patent Number & Title | Country | Summary | Benefit |
---|---|---|---|
12/081,014 – Smoke Detecting Method and Device
|
USA | A moving entity or object image will be analyzed for chrominance variation, edge blur and the frequency of flickering, to detect the action pattern. | Precision – The VFDS uses a predetermined database and analytical methods to test the flickering state, chrominance variation and edge blur to be able to detect a precise action pattern. |
7,868,772 – Flame Detecting Method and Device | USA | Method using the color model to analyze if the moving object’s matches with a predetermined flame color. | Remote Verification – A color model is used to detect a flame color. You don’t need to dispatch personnel to go and verify. |
1,385,602 – Smoke Detecting Method & System | USA | A method and system to analyze whether the moving entity or object is gravitating towards a certain direction and whether the moving entity’s base point’s displacement is less than the threshold value. | Early Stage Confirmation – Smoke is detected at its earliest stage by analyzing the captured images for any moving entity or object gravitating towards a specific direction. |
8,311,345 – Method and System for Detecting Flame | USA | Bright entities or objects will be analyzed for its spatial flickering state. | Accuracy – Spatial motion is the principle used to detect spatially flickering objects to avoid false alarms. |
1,377,511 – Method and System for Detecting Flame | USA | Pixels of bright entities will be distinguished from non bright ones, and determine a specific area of concern, and the state analyzed for spatial flickering motion | Specific area of concern defined – The particular area of concern is immediately known, so authorized personnel can respond right away. |
1326049 -System and method for object classification and identification | ROC | A system and video object identification method by analyzing the object’s contour curve wave to get accurate results to reduce false alarms and lessen data storage. | Efficiency – Objects are identified with accuracy to avoid false alarms from happening, which also lessens the burden on the capacity of data stored. |
ZL200710300841.4 – Flame Detecting Method and Device | China | A method and device that determines the presence of a dynamic area, then conducting a color model analysis to compare the results with a reference flame image using a 3 dimensional RGB Gaussian and 3 dimensional YUV Gaussian mixture model. | Analytically sound – Using the concept of color model analysis, comparisons with reference flame image is done with in depth analysis |
ZL200710300842.9 – Smog Detecting Method and Apparatus
|
China | A smoke detection method which analyzes the blurred edges of the captured image and the number of edge points and the intensity values of the points in each edge. | Meticulous Analysis – Each part of the image is analyzed part by part such as each edge point of the captured moving object. |
EP2000952 B1 – Smoke Detecting Method and Device | Europe | An analyzing method for the edge blur and for detecting the number of edge pixels in a number of pixels which displays the moving entity or object in the captured image. | Detail Oriented – Number of pixels are analyzed to help detect if a moving entity is a smoke. |
4705090 – Smoke Detecting Device and Method Thereof | Japan | A smoke detecting device that can analyze the captured moving object for edge blur, flickering frequency and chrominance variation. Then comparing the first result to the second result for predetermined features. | Verified Analyses results – Results from edge blur, flicker frequency and chrominance variation are tested & verified for multiple times. |
2380758 – Smoke Detecting Method and Device | USA | A method that detects smoke by taking images of any moving object and its background to be analyzed for chrominance variance, edge blur and flicker frequency along with the background. | No background hindrance – All background regardless dark or bright can be analyzed |
EP 2000998 – Flame Detecting Method and Device | Europe | A flame detecting method to determine if there is a moving image in an area, then using a color model analysis on the image to generate a result and comparing it with the feature of a flame image set in the reference. | Powerful Database – Analyzed results are compared with predetermined flame images and flame features. |
4668978 – Flame Detecting Method and its Device | Japan | A method to determine whether a moving area image exists, then analyzing it with a color model and flickering frequency then compare the results with a feature of a reference flame image. It will also be analyzed for variation of the location. | Methodical Step by Step Process – Each analyzed result are compared with a set reference flame image then the another analysis is performed such as variation in the location. |
2393544 – Method and Device to Detect Flame | Russia | A method to capture images for any moving object that will be analyzed with a color model and flickerfrequency. Then results will be compared to a flame feature. | Each flame characteristic analyzed |
1353565 – Flame Detecting Method and Device | ROC | A method to identify a moving object by analyzing chrominance variation, edge blur and flicker frequency then comparing one result with a predetermined feature. | Highly Accurate – lowest false alarm rate |
1369650 – Flame Detecting Method and Device | ROC | A method to analyze a moving object in the image with a color model and comparing it with a feature of a reference flame image, analyzing the variation of the location to generate a second result then comparing with a predetermined threshold. | Series of Analyses results Tested before conclusion minimizing false alarms |
8159539 – Smoke Detecting Method and System | USA | A method to analyze a moving object in the image with a color model and comparing it with a feature of a reference flame image, analyzing the variation of the location to generate a second result then comparing with a predetermined threshold. | Systematic Methods – The smoke detecting methods are systematically followed before actuating alarms to minimize the false alarm rate |
10-0948128 – Smoke Detecting Method and System | Korea | A smoke detecting method that can analyze the captured moving object for edge blur, flickering frequency and chrominance variation. Then comparing the first result to the second result for predetermined features. | Scientific Approach – Every aspect of a smoke is scientifically analyzed from edge blurs, flickering frequency and variation in chrominance. |
10-1168760 – Smoke Detecting Method and System | Korea | A flame detecting method that applies the color model in a moving area in the image will be analyzed to get the first result. The first result will be compared with features of a reference image of a flame. The comparison result will judge whether the moving region is a flame. | Dependability – The first results of the analysis are compared with the reference image of a flame. There are 2 analyses done. |