Nerf FBA_B8072 N-Strike Elite TerraScout

£9.9
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Nerf FBA_B8072 N-Strike Elite TerraScout

Nerf FBA_B8072 N-Strike Elite TerraScout

RRP: £99
Price: £9.9
£9.9 FREE Shipping

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istp = - 30 # Change in tilt servo's PWM duration depends on # difference between current y position and center Step-02 Flywheel flinger The dart is pushed into twin rotating flywheels which propel it rapidly down the barrel. These, along with the robot’s drive motors, require a lot of battery power. In this instructable, I will show you how to modify a Nerf Vulcan to automatically aim and fire at targets. As an added bonus, this gun won't fire at anyone wearing a shirt with the instructables robot on it. I had this project in mind for a long time and finally managed to find the time to bring it to life. int clipSize = 100; // how many shots before the gun will be empty and the gun will be disabled (reload switch resets the ammo counter) my_buttons = { 'New Target':( 70, 90), 'New Civilian':( 230, 90), 'Set Priorities':( 150, 135), 'Arm System':( 150, 180)}

Nerf Gun Robot Toy : Target Nerf Gun Robot Toy : Target

type options: "Arduino_bare", "Shield_v4", "Shield_v6", "Shield_v7", "Standalone_v3", "Standalone_v5", "Standalone_v7", "Standalone_v8" state = 0 elif ( not ( 1 in targets) and ( 1 in civilians) and x >cols_left[ 0] and x rows_up[ 0] and y

Nerf Nerf and blasters | Argos Nerf Nerf and blasters | Argos

As the system is based upon computer vision, we needed a reliable camera that could be attached to the barrel of the gun. We first investigated the 8 Megapixel Pi camera. After plugging and unplugging the camera multiple times during testing, it stopped connecting to the system. As we had access to a Logitech C920 HD Pro Webcam, we decided to integrate it into our system instead of the Pi camera. This camera interfaces over USB to the Raspberry Pi so it was easy to wire and mount to the system since we did not need a long ribbon cable. One problem we ran into when using the USB camera is that the OpenCV capture function has an internal 5 frame buffer. This meant that when we tried to get a image, it was out of date by the time we accessed it. The solution we came up with to get one current frame is to read 5 frames, throwing away the first 4 and only keeping the 5th frame. Another issue we encountered with the camera was that it would occasionally not turn on while our program was running, especially when it had been idle for some time; we did not come up with a permanent solution to this, however unplugging and replugging the camera and restarting the program usually worked. Electrical System boolean useAmmoCounter = false; // if you want to use the shot counter / clip size feature, set this to true My main aim was for it to look awesome; which was difficult to achieve without removing the front part of the gun. But, I managed to accomplish this without removing the barrel, and I’m really happy with how it turned out! void ceaseFire(int selector) { // function to stop firing the gun, based on what firing mode is selected

define disablePlateDelay 5000 // how long to disable sentry when plate is pressed (in milliseconds) elif ( not ( 4 in targets) and ( 4 in civilians) and x >cols_left[ 0] and x rows_up[ 1] and y cols_left[ 2] and x rows_up[ 0] and y

Nerf – Hasbro Pulse Nerf – Hasbro Pulse

The first step in programming our system was to set up the system to capture a picture and detect where the faces are inside of the image. To do this, we used OpenCV, a popular open source library for computer vision which has many pre-trained classifiers for object detection, and referenced an example using face detection from TheCodacus.com (referenced below). We chose to use the Haar cascade classifier for face detection, using the provided haarcascade_frontalface_default.xml file from OpenCV. It only works on gray scale images, so after capturing each image we convert them to grayscale with OpenCV. Then we ran the classifier which returned the location of a bounding box around each face. During testing, we displayed the image with this box on our screen and found that this classifier worked reasonably well to detect faces when the person is looking directly into the camera. Facial Recognition - Collecting images xPosition = (100*(int(x100byte)-48)) + (10*(int(x010byte)-48)) + (int(x001byte)-48); // decode those message bytes into two 3-digit numbers Initially, David simply strapped an upside-down Nerf gun to the top of his 2017 Pi Wars robot, X-Bot. “I realised that this wasn’t really going to cut it, so set about designing and 3D-printing a complete setup that I could mount on top of a bot. It uses the original Nerf flywheels, and the original Nerf magazine which can hold six darts. The rest is all 3D-printed. I also designed a simple mechanism to translate servo movement into lateral movement to push the dart into the launcher.”

User Interface

While well-known Pi community member David Pride admits that Nerf guns hadn’t been invented when he was a youngster, his interest was sparked when he saw two tables full of Nerf gear at a car boot sale. “I started wondering whether you could operate the trigger mechanism with a servo – turns out you can!” elif ( not ( 6 in targets) and ( 6 in civilians) and x >cols_left[ 2] and x rows_up[ 1] and y

driveable Nerf gun robot the coolest toy EVER? Is this driveable Nerf gun robot the coolest toy EVER?

ECE 5725 Final Project: Autonomous Nerf Aiming System #### by Daniel Sachs & Divya Gupta ############################################################################## import time import cv2 import numpy as np import RPi.GPIO as GPIO import pigpio import sys import subprocess import pygame from pygame.locals import * import os from PIL import Image Change in panning servo's PWM duration depends on # difference between current x position and centerelif ( not ( 2 in targets) and ( 2 in civilians) and x >cols_left[ 1] and x rows_up[ 0] and y

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