The Live Sense models provide an interface for interacting with the underlying machine learning (ML) models used for object detection.
Object Detection/Recognition describes the combination of object classification, identifying objects of interest that exist in an image, and localization by identifying where the object is located in the image. An example is a Live Sense model that identifies a vehicle in the image and provides a bounding box of where the vehicle was identified.
The core function of every model is to take in an RGB image and return a list of detections found within the image.
Each Live Sense model has a set of object classes that it is able to detect. It is up to the developer to determine which objects, and therefore models, are relevant to their use case.
Model Types and Detection Classes
The following table describes the models and their available classes:
|Category ||Model Name ||Label ||Recommended Confidence |
|Road Basics ||RB_day ||pedestrian ||47 |
| || ||rider ||47 |
| || ||bicycle ||45 |
| || ||car ||46 |
| || ||motorcycle ||47 |
| || ||bus ||50 |
| || ||truck ||45 |
| || ||traffic-light ||47 |
| ||RB_night ||pedestrian ||45 |
| || ||car ||40 |
| || ||motorcycle ||40 |
| || ||truck ||40 |
|Road Alerts ||BrakeLight ||car-brake-light-on ||80 |
|Road Hazards ||cone_barrier ||cone ||60 |
| || ||strip-stand ||60 |
| || ||rectangular-barrier ||75 |
| || ||cylindrical-barrier ||60 |
| || ||delineator-barrier ||60 |
| ||pothole ||pothole ||80 |
| ||speed_bump_signage ||speed-bump-sign ||55 |
|Road Signs ||RoadSigns ||DS_SpeedLimit[5-130] ||55 |
| || ||DS_AdvisorySpeedLimit[10-85] ||55 |
| || ||DS_Stop ||55 |
| || ||DS_DoNotEnter ||55 |
| || ||DS_NoAccess ||55 |
| || ||DS_StartConstruction ||55 |
| || ||DS_PedestrianCrossing ||55 |
| || ||DS_SpeedBumps ||55 |
| || ||DS_StopHereOnRed ||55 |
| || ||DS_NoLeftTurn ||55 |
| || ||DS_NoRightOrLeftTurn ||55 |
| || ||DS_NoUTurn ||55 |
| || ||DS_NoUTurnOrLeftTurn ||55 |
| || ||DS_ParkingRestriction ||55 |
RB_night detects supported features in low light conditions.
For the Road Signs model, only the label prefix is given above.
See the Road Signs section below for the full label list with sample images
Models Available in Beta Mode
The models below are available for beta testing:
|Category ||Model Name ||Label ||Recommended Confidence |
|Road Alerts ||TrafficLightCVModel ||traffic-light-green ||75 |
| || ||traffic-light-red ||75 |
| || ||traffic-light-yellow ||75 |
|Road Hazards ||bridge_tunnel ||bridge ||75 |
| || ||tunnel ||75 |
| ||signage ||roadworks-going-on ||60 |
| || ||road-closed ||55 |
| ||speed_bump_object ||cross-walk ||55 |
| ||height_restriction_signs ||height-restriction-sign-Xft-Yin ||60 |
|Lane Detection ||lane_detector ||lane ||N/A |
|RTG ||real_time_guidance ||stop-sign ||60 |
| || ||traffic-light ||60 |
Live Sense SDK allows to configure the confidence values of the models as well as the individual classes within each model.
Update the Confidence of a Model
Updates the confidence of all the classes available in the specified model to the provided value.
List<Recognition> recognizeImage(Bitmap bitmap, int sensorOrientation, float minimumConfidence)
For a model, the
minimumConfidence here can be used from the
Recommended Confidence mentioned in the table described in the Model Types and Detection Classes section.
Update the Confidence of a Class
Updates the confidence of the specified class to the provided value. This supersedes the confidence configured for the parent model.
void addClassMinConfidence(String classLabel, float classMinConfidence)
classMinConfidence can be used from the
Label, and respective
Recommended Confidence values mentioned in the table described in the Model Types and Detection Classes section.
A Live Sense
Recognition describes the following properties of a detected object:
- class - What object was detected. For more information, see Model Types and Detection Classes.
- location - Where the object was found in the image frame.
- confidence score - A number between 0 and 1 that indicates confidence that the object was correctly detected.
Side crop and Center crop inference
Side crop and Center crop inference involves modification of the source image shape by a model to improve detection output. What this option does depends upon the model, and this option should be disabled if large modifications to the image are made before passing it into the model.
Distance and Position Estimation
This feature is in Beta, the returned distance and relative position values may be inaccurate.
All of the object detection models listed above can provide an estimated distance and position relative to the camera's point of view for each detected object.
The output values for the
relativePosition properties of a detected object are as follows:
- Height: Distance of the detection from the ground.
- Lateral: Distance of the detection relative to the center of the camera's view. This value may be positive or negative with a negative value signifying that the detection is towards the left side of the camera's view and vice versa.
- Depth: Distance that the device needs to travel forward in a straight line so that the actual distance is equal to the lateral distance.
- Distance: Actual distance of the detection from the camera's point of view.
All distance values are provided in meters and are used in the following features of Live Sense SDK
- Time-to-collision alerts
- Relative velocity estimation
|Group ||Label ||Sample Image |
|SpeedLimit ||DS_SpeedLimitXX_White_Circle_00 || |
| ||DS_SpeedLimitXX_White_Circle_01 || |
| ||DS_SpeedLimitXX_White_Rectangle_01 || |
|AdvisorySpeedLimit ||DS_AdvisorySpeedLimitXX_Yellow_Rectangle_00 || |
| ||DS_AdvisorySpeedLimitXX_Yellow_Rectangle_01 || |
| ||DS_AdvisorySpeedLimitXX_Yellow_Rectangle_03 || |
|Stop ||DS_Stop_Red_Octogon_00 || |
|DoNotEnter ||DS_DoNotEnter_Red_Circle_00 || |
| ||DS_DoNotEnter_White_Rectangle_00 || |
| ||DS_DoNotEnter_White_Rectangle_01 || |
|NoAccess ||DS_NoAccess_White_Circle_00 || |
|StartConstruction ||DS_StartConstruction_White_Triangle_00 || |
|Yield ||DS_Yield_White_Triangle_00 || |
|PedstrianCrossing ||DS_PedestrianCrossing_Blue_Rectangle_00 || |
| ||DS_PedestrianCrossing_White_Triangle_00 || |
| ||DS_PedestrianCrossing_Yellow_Circle_00 || |
| ||DS_PedestrianCrossing_Yellow_Diamond_01 || |
| ||DS_PedestrianCrossing_Yellow_Triangle_00 || |
|SpeedBumps ||DS_SpeedBumps_Blue_Rectangle_00 || |
| ||DS_SpeedBumps_White_Triangle_00 || |
| ||DS_SpeedBumps_Yellow_Diamond_01 || |
|StopHereOnRed ||DS_StopHereOnRed_White_Rectangle_00 || |
|NoLeftTurn ||DS_NoLeftTurn_White_Circle_00 || |
| ||DS_NoLeftTurn_White_Rectangle_02 || |
|NoRightOrLeftTurn ||DS_NoRightOrLeftTurn_White_Rectangle_00 || |
| ||DS_NoRightOrLeftTurn_White_Circle_00 || |
|NoUTurn ||DS_NoUTurn_White_Circle_00 || |
|NoUTurnOrLeftTurn ||DS_NoUTurnOrLeftTurn_White_Rectangle_00 || |
|ParkingRestriction ||DS_ParkingRestriction_Blue_Circle_00 || |
| ||DS_ParkingRestriction_White_Circle_01 || |
| ||DS_ParkingRestriction_White_Rectangle_03 || |