Patent List


 

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.