#PULSE SECURE CLIENT RASPBERRY PI INSTALL#

Time.sleep(2) # give 2 secs for camera to initilizeįor foo in camera.capture_continuous(stream, 'jpeg', use_video_port = True):Ĭonnection.write(struct.pack('HereĬlient_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)Ĭlient_nnect(('192.168.31.7', 8000))#replace with the server ip address ,port=8000Ĭonnection = client_socket.makefile('wb')Ĭamera.resolution = (640, 480) # pi camera resolution

#PULSE SECURE CLIENT RASPBERRY PI INSTALL#

Also, install the picamera on Raspberry pi and make sure it is enabled.First setup Raspberry pi with raspbian operating system.STEP1: Stream Pi Camera feed to a computer to process further Finally, make the Car move based on all this information processed.check for obstacle /Pedestrian using an Ultrasonic Sensor in Pi.of left, right lines & Red marker status ) Receive data from the computer about the processed frame(no.STEP5: Send info back to pi about (number of left lines, right lines & red marker status)to move the Car accordingly.Using this information We find the number of left lines and right lines.Next, We detect Lines using HoughLines and then get the slope of the detect lines in the region of interest.Next, we filter out the required region of interest (birds-eye view ).STEP4: Detect the slope of the lines in the frame.STEP3: Check for Red Stop Marker and send info to pi if found.STEP2: Read the frame on the server-side and start processing it.STEP1: First we need to stream Pi Camera feed to a computer to process further.The entrie code for this project is available at the following github repository: Structure/Work Flow:

Pulse secure client raspberry pi