R Pi 3 set up help for trail counter.

Items needed for counter:

• Raspberry Pi (We've tested this on model 3B+ - with headers)
• SD with Raspian Buster installed
• PIR sensor
• Pi Camera
• Huawei E303 Cellualar USB dongle with Sim card (we got both from Hologram.io)
• External Battery (Currently we are using a Ravpower 26800 mAh battery)
• ThingSpeak account and API key

Other things to help development or in constructing the sensor - these are not neccessary

• HDMI cable
• Adafruit T-cobbler w/ serial cable
• Bread board
• 12in camera cable
• female to female wires
• case/container to keep trail counter in

ThingSpeak Account

Once you sign upfor an account, create a channel. Select your channel and add field names according to those found in the detect.py file.

• Field 1 = current_date
• Field 2 = last_date
• Field 3 = bicycle
• Field 4 = person
• Field 5 = horse
• Field 6 = car

Then Click on API Keys and Generate New Write API Key, copy key and save for step 3.

Trail Counter

Step 1

cd /home/pi/Public/

Then

git clone https://github.com/fpdcc/trail-counter-RPi3-setup.git
cd trail-counter-RPi3-setup
./rasp_pi_installs.sh

Step 2

Connect external sensors/devices

Connect PIR sensor

1. GND on sensor to a ground pinon the pi.
2. 5v pin to 5v pin on pi.
3. out pin to xxx pin on pi.

Allow camera sudo raspi-config

select

Interface options Camera > YES

Connect Raspberry Pi Camera Rev 1.3 1.Ribbon cable from camera goes into slot labeled camera on pi.

Plug in Huawei E303 3G Wireless into USB port

Step 3

Update sample_config.py, rename to config.py and put in your own ThingSpeak API KEY and CHANNELID.

Step 4

Create systemd service to run on boot

sudo nano /lib/systemd/system/trail_counter.service

Copy and paste into file

 [Unit]
 Description=Start trail counter service
 After=multi-user.target

 [Service]
 Type=idle
 ExecStart=/usr/bin/python /home/pi/Public/trail-counter-RPi3-setup/counter.py
 Restart=always

 [Install]
 WantedBy=multi-user.target

Exit nano

ctrl+X and y to save

sudo chmod 644 /lib/systemd/system/trail_counter.service
sudo systemctl daemon-reload
sudo systemctl enable trail_counter.service

Reboot to start service

To check status of service use these tools top or htop

Look for something called trailcounter.service

also systemctl and journalctl help to view logs of the service and troubleshoot issues.

sudo systemctl status trail_counter.service
sudo journalctl -f -u trail_counter.service

(ctrl+c to exit journalctl command)

To check log files after use in the field go to

/var/log/syslog

Each time the counter detect an object it printed the URL to the log file. This can be checked against what you are recieving in ThingSpeak.

To switch raspberry pi to headless (non-GUI) mode use:

sudo raspi-config

Boot options Desktop / CLI

Then choose an option depending on your preference.

To turn off bluetooth and wifi

nano /boot/config.txt

add lines

dtoverlay=pi3-disable-bt
dtoverlay=pi3-disable-wifi

---

This section is not part of the set up for the Raspberry Pi

To run object detection with Tensorflow Lite on an image.

• detect.py was adapted from the original TensorFlow git repository

python3 detect.py \
--model detect.tflite \
--labels coco_labels.txt \
--threshold 0.55 \
--image /home/pi/Public/images/counter_image.jpg

Currently detect.py has default values set so you dont have to include any flags when running it as specified above.