2026 T1 Edits

src/Components/IoT/device_housing/README.txt

@@ -0,0 +1,8 @@
+This case was created in Fusion 360, of which a free version is available for students from Autodesk
+
+PLA was used to print in the Makerspace on Burwood campus however, I recommend print in ASA for UV resistance.
+
+The current prototype is split into sections to improve print time while prototyping design, these pieces are then superglued together. While this works well for prototyping it does make the design much less water resistant and is therefore impractical for a final stage prototype.
+
+When redesigning the next version, the width of the inserts on each wall should be narrowed by a few millimetres on each side to allow for easier construction.
+

src/Components/IoT/edge_inference/iot_edge_client.py

@@ -162,7 +162,7 @@ def get_gps(fallback_lat: float, fallback_lon: float) -> dict:
                 lon  = data_stream.TPV.get("lon")
                 mode = data_stream.TPV.get("mode")
                 if mode == 3 and lat != "n/a" and lon != "n/a":
-                    return {"lat": float(lat), "lon": float(lon)}
+                    return {"lat": f"{float(lat):.4f}", "lon": f"{float(lon):.4f}"}
     except Exception:
         pass
     return {"lat": fallback_lat, "lon": fallback_lon}
@@ -196,17 +196,16 @@ def on_connect(c, userdata, flags, rc):
 # ---------------------------------------------------------------------------
 def build_payload(
     species: str, confidence: float, top5: list,
-    sensor_id: str, gps: dict, gps_uncertainty: float,
+    sensor_id: str, gps: dict,
 ) -> dict:
     return {
         "type":            "prediction",
-        "timestamp":       str(int(time.time())),
+        "timestamp":       time.strftime("%d-%m-%Y_%H-%M-%S"),
         "sensor_id":       sensor_id,
         "species":         species,
         "confidence":      confidence,
         "top5":            top5,
         "gps_data":        gps,
-        "gps_uncertainty": gps_uncertainty,
     }
 
 
@@ -221,7 +220,6 @@ def main():
     parser.add_argument("--sensor-id",       default="rpi_edge_node_1")
     parser.add_argument("--lat",             type=float, default=-37.8136)
     parser.add_argument("--lon",             type=float, default=144.9631)
-    parser.add_argument("--gps-uncertainty", type=float, default=10.0)
     parser.add_argument("--interval",        type=float, default=10.0,
                         help="Seconds between recordings (default: 10)")
     parser.add_argument("--use-gps",         action="store_true",
@@ -248,7 +246,7 @@ def main():
 
             payload = build_payload(
                 species, confidence, top5,
-                args.sensor_id, gps, args.gps_uncertainty,
+                args.sensor_id, gps, 
             )
             client.publish(args.topic, json.dumps(payload), qos=1)
             print(f"Published to {args.topic}\n", flush=True)

src/Components/IoT/edge_inference/requirements.txt

@@ -6,7 +6,7 @@
 # omitted and the fallback import in iot_edge_client.py will use tensorflow.lite.
 
 tflite-runtime
-numpy
+numpy<2
 librosa
 sounddevice
 paho-mqtt==1.6.1

src/Components/IoT/edge_inference/server.py

@@ -0,0 +1,40 @@
+import json
+import paho.mqtt.client as mqtt
+import os
+
+JSON_DIR = 'jsonLocal'
+BROKER = "broker.hivemq.com"
+PORT = 1883
+TOPIC = "iot/data/test"
+
+os.makedirs(JSON_DIR, exist_ok=True)
+
+def on_connect(client, userdata, flags, rc):
+    if rc == 0:
+        print("Subscriber connected successfully")
+        client.subscribe(TOPIC, qos=1)
+    else:
+        print(f"Subscriber failed to connect, code {rc}")
+
+def on_subscribe(client, userdata, mid, granted_qos):
+    print(f"Subscribed with QoS {granted_qos}")
+
+def on_message(client, userdata, msg):
+    print(f"Received message on {msg.topic}")
+
+    payload = json.loads(msg.payload)
+
+    print("Writing json data")
+    subfolder = os.path.join(JSON_DIR, f"{payload["sensor_id"]}")
+    os.makedirs(subfolder, exist_ok=True)
+    json_filename = f"data_{payload["timestamp"]}"
+    with open(os.path.join(subfolder, json_filename), "w") as f:
+        json.dump(payload, f, indent=4)
+    print(f"Saved JSON: {json_filename}")
+
+client = mqtt.Client()
+client.on_connect = on_connect
+client.on_subscribe = on_subscribe
+client.on_message = on_message
+client.connect(BROKER, PORT, 60)
+client.loop_forever()

src/Components/IoT/edge_inference/server_requirements.txt

@@ -0,0 +1,9 @@
+# IoT server requirements
+# Install with: pip install -r requirements.txt
+
+tflite
+numpy<2
+librosa
+sounddevice
+paho-mqtt==1.6.1
+gps3

src/Components/IoT/gps_boot/README.txt

@@ -0,0 +1,21 @@
+To install and enable the automatic GPS reboot fix please 
+follow the provided steps:
+
+1. Copy the gps_reboot.sh file to the Raspberry Pi at:
+    /home/pi/
+
+2. Copy the gps-reboot.service file to the Raspberry Pi at:
+    /etc/systemd/system/
+
+3. Open the terminal
+
+4. Reload daemon by running: 
+    sudo systemctl daemon-reload
+
+5. Start the service by running: 
+    sudo systemctl start gps-reboot.service
+
+6. Enable the service to run at boot: 
+    sudo systemctl enable gps-reboot.service
+
+7. Restart Raspberry Pi

src/Components/IoT/gps_boot/gps-reboot.service

@@ -0,0 +1,12 @@
+[Unit]
+Description=GPS Initialisation Script
+After=multi-user.target
+
+[Service]
+Type=oneshot
+ExecStart=/home/pi/gps_reboot.sh
+RemainAfterExit=yes
+Restart=on-failure
+
+[Install]
+WantedBy=multi-user.target

src/Components/IoT/gps_boot/gps_reboot.sh

@@ -0,0 +1,8 @@
+#!/bin/bash
+sudo systemctl stop gpsd.socket
+sudo systemctl stop gpsd.service
+sudo systemctl disable gpsd.socket
+sudo systemctl disable gpsd.service
+sudo killall gpsd
+sudo systemctl enable gpsd.socket
+sudo systemctl start gpsd.socket