classname()

Name	Type	Description	Expected Values	Default Value
object	int	The object number for which the class name is required.	1-100	1

Object Detection on Stage – Python

The example demonstrates how to run an object detection on the stage and show all the objects with confidence.

Code

sprite = Sprite('Square Box')
obj = ObjectDetection()

obj.disablebox()
obj.setthreshold(0.5)
obj.analysestage()

sprite.gotoxy(0, 0)
sprite.setsize(100)
sprite.say(str(obj.count()) + " Object Detected", 2)

for object in range(1, obj.count() + 1):
  sprite.setx(obj.x(object))
  sprite.sety(obj.y(object))
  sprite.setsize(obj.width(object))
  sprite.say(obj.classname(object) + " with " + str(obj.confidence(object)), 2)

Output

Detection at 0.3
Detection at 0.5
Detection at 0.8

Python Based Sign Detection with Mars Rover

Learn how to code logic for video input detection with this example code. You will be able to direct your own Mars Rover easily by just showing signs through the camera input.

Introduction

A sign detector Mars Rover robot is a robot that can recognize and interpret certain signs or signals, such as hand gestures or verbal commands, given by a human. The robot uses sensors, cameras, and machine learning algorithms to detect and understand the sign, and then performs a corresponding action based on the signal detected.

These robots are often used in manufacturing, healthcare, and customer service industries to assist with tasks that require human-like interaction and decision making.

Code

sprite = Sprite('Tobi')
# sprite = Sprite('Tobi')
quarky = Quarky()
import time

recocards = RecognitionCards()
rover = MarsRover(4, 1, 7, 2, 6)

recocards.video("on flipped")
recocards.enablebox()
recocards.setthreshold(0.6)

while True:
  recocards.analysecamera()
  sign = recocards.classname()
  sprite.say(sign + ' detected')
  
  if recocards.count() > 1:
    if 'Go' in sign:
      rover.home()
      rover.setinangle(0)
      quarky.runtimedrobot("F",100,3)
      
    if 'Turn Left' in sign:
      rover.home()
      rover.setinangle(40)
      quarky.runtimedrobot("L",100,3)

    if 'Turn Right' in sign:
      rover.home()
      rover.setinangle(40)
      quarky.runtimedrobot("R",100,3)
      
    if 'U Turn' in sign:
      rover.home()
      rover.setinangle(0)
      quarky.runtimedrobot("B",100,3)

Logic

Firstly, the code sets up the stage camera to look for signs and detects and recognizes the signs showed on the camera.
Next, the code starts a loop where the stage camera continuously checks for the signs.
Finally, if the robot sees certain signs (like ‘Go’, ‘Turn Left’, ‘Turn Right’, or ‘U Turn’), it moves in a certain direction (forward, backward, left, or backward) based on the respective signs.
This can help the Mars Rover to manoeuvre through the terrain easily by just showing signs on the camera.

Output

Forward-Backward Motions:

Right-Left Motions:

Python Based Sign Detection Controlled Mecanum

Learn how to code logic for video input detection with this example code. You will be able to direct your own Mecanum easily by just showing signs through the camera input.

Introduction

A sign detector Mecanum robot is a robot that can recognize and interpret certain signs or signals, such as hand gestures or verbal commands, given by a human. The robot uses sensors, cameras, and machine learning algorithms to detect and understand the sign, and then performs a corresponding action based on the signal detected.

These robots are often used in manufacturing, healthcare, and customer service industries to assist with tasks that require human-like interaction and decision making.

Code

sprite = Sprite('Tobi')
quarky = Quarky()
import time
meca=Mecanum(1,2,7,8)
recocards = RecognitionCards()

recocards.video("on flipped")
recocards.enablebox()
recocards.setthreshold(0.6)

while True:
  recocards.analysecamera()
  sign = recocards.classname()
  sprite.say(sign + ' detected')
  if recocards.count() > 1:
    if 'Go' in sign:
      meca.runtimedrobot("forward",100,2)
    if 'Turn Left' in sign:
      meca.runtimedrobot("lateral left",100,2)
    if 'Turn Right' in sign:
      meca.runtimedrobot("lateral right",100,2)
    if 'U Turn' in sign:
      meca.runtimedrobot("backward",100,2)

Logic

Firstly, the code sets up the stage camera to look for signs and detects and recognizes the signs showed on the camera.
Next, the code starts a loop where the stage camera continuously checks for the signs.
Finally, if the robot sees certain signs (like ‘Go’, ‘Turn Left’, ‘Turn Right’, or ‘U Turn’), it moves in a certain direction (forward, backward, left, or backward) based on the respective signs.
This can help the Mecanum to manoeuvre through the terrain easily by just showing signs on the camera.

Final Output

Forward Motion:

Right-Left Motions:

Sign Detection with Quadruped

Learn how to set the bounding box threshold, and detect signals such as 'Go', 'TurnRight', 'TurnLeft', and 'Stop' to control quadruped movements.

Introduction

Sign detection is being performed using a camera and a RecognitionCards object. The RecognitionCards object is set up with a threshold value and is enabled to draw a box around the detected object. The robot uses sensors, cameras, and machine learning algorithms to detect and understand the sign, and then performs a corresponding action based on the signal detected.

These robots are often used in manufacturing, healthcare, and customer service industries to assist with tasks that require human-like interaction and decision-making.

Code

sprite = Sprite('Tobi')
quarky = Quarky()

import time
quad=Quadruped(4,1,8,5,3,2,7,6)

recocards = RecognitionCards()
recocards.video("on flipped")
recocards.enablebox()
recocards.setthreshold(0.6)
quad.home()
while True:
  recocards.analysecamera()
  sign = recocards.classname()
  sprite.say(sign + ' detected')
  
  if recocards.count() > 0:
    if 'Go' in sign:
      quarky.drawpattern("jjjijjjjjiiijjjiiiiijjjjijjjjjjijjj")
      quad.move("forward",1000,1)
      
      
    if 'Turn Left' in sign:
      quarky.drawpattern("jjjddjjjjjdddjdddddddjjjdddjjjjddjj")
      quad.move("lateral right",1000,1)
      
      
    if 'Turn Right' in sign:
      quarky.drawpattern("jjggjjjjgggjjjgggggggjgggjjjjjggjjj")
      quad.move("lateral left",1000,1)
      
      
    if 'U Turn' in sign:
      quarky.drawpattern("jjjbjjjjjjbjjjjbbbbbjjjbbbjjjjjbjjj")
      quad.move("backward",1000,1)
      
      
    else:
      quad.home()

Logic

This code is using several objects to detect and respond to certain signs or images captured by a camera.
First, it creates a Sprite object with the name ‘Tobi’, and a Quarky object. It also imports a time module.
Next, a Quadruped object is created with some parameters. Then, a RecognitionCards object is created to analyze the camera input. The object is set to enable a box around the detected object and to set the threshold of detection to 0.6.
The code then puts the Quadruped object in its home position and enters an infinite loop.
Within the loop, the code captures the camera input and uses the RecognitionCards object to analyze it. If an object is detected, the object’s class name is retrieved and used by the Sprite object to say that the object was detected.
If the count of detected objects is greater than zero, the code checks if the detected object is a specific sign.
If the object is a ‘Go‘ sign, the Quarky object will draw a specific pattern, and the Quadruped object will move forward.
If the object is a ‘Turn Left‘ sign, the Quarky object will draw a different pattern and the Quadruped object will move to the right.
If the object is a ‘Turn Right‘ sign, the Quarky object will draw another pattern, and the Quadruped object will move to the left.
Finally, if the object is a ‘U Turn‘ sign, the Quarky object will draw a fourth pattern, and the Quadruped object will move backward.
If the detected object is not any of the specific signs, the Quadruped object will return to its home position.
So, this code helps a robot understand hand signs and move in response to them!

Parameters

Description

Example

Object Detection on Stage – Python

Code

Output

Python Based Sign Detection with Mars Rover

Introduction

Code

Logic

Output

Python Based Sign Detection Controlled Mecanum

Introduction

Code

Logic

Final Output

Sign Detection with Quadruped

Introduction

Code

Logic

Output

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