- Sighthound camera compatiable code#
- Sighthound camera compatiable license#
When an alarm condition is detected, the program can sound an audible alarm, or send you an email with a photo. It is possible to reduce the sensitivity of to the video noise by enabling the Reduce Video Noise option. When the camera captures video frames in a dark environment, it is possible that the electrical background noise of the CCD video cell creates fake motion detection events. You can adjust the sensitivity of the detection, and mask out areas of the camera view to avoid false alarms. A sensitivity grid is applied on video frames. For each video frame, if motion is detected, the Alarm event occurs, that returns a global motion ratio, depending of the number of cells in which motion has been detected, and the level of motion in each cell. Video surveillance with multiple IP cameras and video capture devices. " recognitionConfidence": 0.Motion detection and webcam monitoring. confidence (float): Confidence that the character field is correct.
Sighthound camera compatiable license#
index (integer): The index of this character within the string of license plate characters. characters (array): List of attributes for each character recognized in the license plate. confidence (float): Confidence for the string of characters. name (string): All characters in one string. string (object): The license plate characters as a group. confidence (float): Confidence for the region. region (object): The country or state of the license plate. The confidence for each individual character, so the confidence value also does not indicate missed characters. The confidence for the string is derived from License plate containing any or other of these variations: “CCC243”, “0CCC24”, “CCC124”. For example, a response including a string of “CCC24” could be for a Indicate whether any characters may have been missed. License plate character recognition is limited in its ability to find and recognize all characters. The vehicles in an image should be at least 200 pixels wide, and license plates in an image should be at least 80 pixels high for good results. Uploading of images for enrollment, Image Management, Group Management,Īnd Object Management are not supported for Vehicle and License Plate Recogniton. The paired objectType “vehicle,licenseplate” is required. When License Plates are paired with Vehicles, any detected Vehicle thatĭoes not have an associated License Plate will be more closely examined for a missed license plate. This operationĬan be noticeably slower than Vehicle Recogntion alone. The above Vehicle Recognition, but also includes License Plate detection and recognition and pairing with Vehicles. Performs recognition on all of the vehicles and their associated license plates detected in a submitted Image. RequestId (string): A server generated ID for the request vehicleType (string): Vehicle body type (e.g. color (object): List of attributes for the vehicle color (e.g. model (object): List of attributes for the vehicle model (e.g. 
confidence (float): Confidence that the name field is correct. name (string): The name for the parent field. make (object): List of attributes for the vehicle make (e.g. system (object): System-generated attributes for the detected Object. recognitionConfidence (decimal): A decimal value between 0.0 - 1.0 that represents the confidence that the given objectId is actually the Object recognized in the image. y (integer): Vertical pixel position of the vertex. x (integer): Horizontal pixel position of the vertex. vertices (array): A list of objects that define coordinates of the vertices that surround the Object. vehicleAnnotation (object): A list of objects that contain detection coordinates, confidence scores, and other attributes. 
objectId (string): Unique identifier of the recognized object. objectType (string): The type of Object detected. Objects (array): A list of objects recognized in the image Defaults to 1 (no rotation or flip), else the value found in the image’s EXIF data and indicates that bounding vertices have been translated to match that coordinate space. Only applicable for photos with EXIF data (e.g., photos taken on a mobile device). Sighthound camera compatiable code#
orientation (integer): EXIF code representing rotation and/or flipping of source Image needed to align the source photo with the detection coordinates.height (integer): Pixel height of image.Image (object): Size and rotation information of the provided image
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