Processor Settings

The following tables list the Kraken Processor settings.

The Markup and Metadata settings are common across different processors, while other settings vary depending on the selected Processor Module.

Markup and Metadata

Processor Setting	Default	Description/Values
Enable VMTI KLV Generation	Enabled	Check this checkbox to enable Video Moving Target Indicator (VMTI) KLV generation. When enabled, this tracks the VMTI KLV data reported by the processor in use. Some common data points include: Target Location (geo-coordinates) Target Priority Target Confidence Value Target ID Time Checksums Frame Height Frame Width Number of Reported Targets POSIX Microseconds Total number of Targets Detected in the Frame The above list is only a sample of data points that may be available.
Draw Object Detection Boxes	Enabled	Check this checkbox to view object detection boxes on your stream.
Draw Labels for Detected Objects	Enabled	Check this checkbox to show detected object labels (e.g. car, boat, person).
Object Detection Box Color	Blue	Select the object detection box color from the dropdown menu. Color options are: Amber Blue Green Purple Red
Border Size for Object Detection Boxes	1	To modify the border size of the object detection boxes, type in a value here. Range is from -16 to 16 pixels

Sentient Tracker

Sentient Tracker Settings

Default

Description/Values

Type of analytics algorithm to run

LAND

Sentient Tracker allows you to specify an algorithm suited to certain environments. Environment options are:

LAND
MARITIME
SAR (search and rescue)

Sensitivity of the Tracker analytic

Dependent on Analytic

Sensitivity values for Sentient Tracker Processor module are related to the chosen analytic.

For all analytics, a value of 0 will generate no detections.

For the LAND analytic (Default 5):
Tier1 - 0 to 7
Tier2 - 0 to 6
Tier3 - 0 to 7
Exploitation - 0 to 7
Law Enforcement - 0 to 6

For the Maritime Analytic (Default 10):
Tier1 - 0 to 11
Tier2 - 0 to 13
Tier3 - 0 to 15
Exploitation - 0 to 15
Law Enforcement - 0 to 13

For the Search and Rescue (SAR) Analytic (Default 10):
Tier1 - 0 to 11
Tier2 - 0 to 13
Tier3 - 0 to 15
Exploitation - 0 to 15
Law Enforcement - 0 to13

Rectangular area around the border of the image to ignore

100

Input a number between ??? and ??? to adjust the amount of space that will be ignored around the detected object.

Yolo based image processing

Yolo-based image processing Settings	Default	Description/Values
Minimum Confidence Threshold for detections.	0.6	Input a number between 0.01 and 1 to set the minimum confidence threshold for detections. Higher number will result in fewer detections, but will improve accuracy by reducing false positives.
Intersection over Union (IoU) threshold for non-maximum suppression.	0.45	The Intersection over Union value is determined by dividing the overlapping area between two detection boxes (the Area of Intersection), by the total area covered by those detection boxes (the Area of Union). As long as both boxes are seeking the same type of object, a high Area of Intersection relative to the Area of Union means that the boxes are likely to be detecting the same object. In this case, the value input here determines the percentage of overlap between two bounding boxes that is deemed high enough to rule-out multiple detections. Higher numbers filter out more redundant boxes. TBD - Value range??? Configurable by users???
Maximum number of detections per frame.	30	Input a number between 1 and 100 to set of maximum number of detections that can be made per frame.
Type of objects to detect (ex: person).	n/a	Type in the name of the object you would like the processor to detect. TBD limits to this input???
Type of application	object-detector	Select the type of insight to be processed. Options are: object-detector (detects and identifies specified objects) object-tracker (tracks the location of the detected objects) counter (counts the number of detected objects) distance (identifies the distance between two detected objects)