This project enables custom audio alerts (such as speed camera warnings) to be played through the native audio system of a Tesla equipped with Media Control Unit (MCU). It also integrates synchronized visual alerts via a custom BLE LED setup.
- MCU tegra or intel Only: This concept is specifically tailored for the MCU architecture.
- Root & Firmware: It is unknown if this functionality persists in the latest firmware versions or if it strictly requires root access. It may be possible to trigger this simply by being on the internal network, but users must test this themselves.
- Hardware Requirement: A Raspberry Pi (or similar) must be physically connected to an Ethernet port on the Tesla's internal car network.
- Use at your own risk: Interacting with a vehicle's internal diagnostic/private network can have unpredictable results. Use this information for educational purposes only.
The core logic for audio injection over the Tesla's internal network is credited to Jasper Nuyens from his research:
https://www.slideshare.net/slideshow/tesla-hacking-presentation-fri3d/110535910
Specifically, Slide 41 details the discovery that sound data can be sent over Ethernet:
Sound is sent over the Ethernet network :)
cat gameofthrones.wav | nc 192.168.90.100 4102
Requires a specific format: RIFF (little-endian), WAVE audio, Microsoft PCM, 16 bit, mono 48000 Hz.
We apply this netcat (nc) pipeline to deliver real-time GPS-triggered warnings.
To ensure the MCU1 processes the audio correctly, the file must be converted to a specific raw format.
- Generate Voice:
Use Narakeet to create an.mp3alert (e.g., "Speed camera ahead").
https://www.narakeet.com/create/es-creador-de-voz-con-ia.html#trynow
- Convert to RAW:
Usesoxto transform the file into the signed-integer raw format the car expects:
sox /path/to/your/alert.mp3 -t raw -c 1 -r 22050 -b 16 -e signed-integer /path/to/your/alert_radar.rawThis script integrates with the project:
https://github.com/grodcur22/led-lamp-ble-for-a-car
Integration Details:
- Shared Hardware: Both systems utilize the same Ublox GPS module for positioning.
- Control Mechanism: The LED project runs a local API (Port 5000). This script sends
HTTP GETrequests to trigger a "Flash Red" sequence on Bluetooth Low Energy lamps when a radar is detected, then restores the original ambient color.
haversine: Calculates the great-circle distance between the car and the radar coordinates.calculate_bearing_to: Determines the azimuth (0–360°) toward the radar.visual_alert_flash: Fetches the current LED state from local files, sends a sequence of requests to flash the LEDs RED (FF0000) and OFF (000000) three times, and finally reverts to the saved color.
Filters
- Distance/Cooldown: Ensures the radar is within 400m and prevents spamming the same alert for 60 seconds.
- Cone Filter: Checks if the radar is within a 35° cone in front of the car's current heading (
track). - Speed Filter: Only alerts if moving > 30 km/h.
Audio Execution
Uses nc -q 0 to pipe the .raw audio file to the Tesla's internal IP (192.168.90.100) on port 4102.
import csv
import math
import os
import time
import requests
from gps import *
# --- CONFIGURATION ---
CSV_FILE = 'radar_locations.csv'
DISTANCE_ALERT = 0.4 # 400 meters
COOLDOWN = 60 # Seconds
MIN_SPEED = 30 # km/h
CONE_THRESHOLD = 35 # Degrees (Forward cone)
# LED API CONFIG
AUTH = ('USERNAME', 'PASSWORD')
FRONT_MAC = "FRONT_DEVICE_MAC"
REAR_MAC = "REAR_DEVICE_MAC"
# Paths for color state and audio
FRONT_FILE = "/path/to/front_led_color.txt"
REAR_FILE = "/path/to/rear_led_color.txt"
AUDIO_ALERT = "/path/to/radar_alert.raw"
# Target Tesla Audio Interface
DEVICE_IP = "192.168.90.100"
DEVICE_PORT = "4102"
def haversine(lat1, lon1, lat2, lon2):
R = 6371.0
dlat = math.radians(lat2 - lat1)
dlon = math.radians(lon2 - lon1)
a = math.sin(dlat / 2)**2 + math.cos(math.radians(lat1)) * \
math.cos(math.radians(lat2)) * math.sin(dlon / 2)**2
c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
return R * c
def calculate_bearing_to(lat1, lon1, lat2, lon2):
dLon = math.radians(lon2 - lon1)
y = math.sin(dLon) * math.cos(math.radians(lat2))
x = math.cos(math.radians(lat1)) * math.sin(math.radians(lat2)) - \
math.sin(math.radians(lat1)) * math.cos(math.radians(lat2)) * math.cos(dLon)
brng = math.atan2(y, x)
return (math.degrees(brng) + 360) % 360
def get_saved_color(path):
try:
if os.path.exists(path):
with open(path, "r") as f:
color = f.read().strip().replace('#', '')
return color if len(color) == 6 else "00ffff"
except:
pass
return "00ffff"
def visual_alert_flash():
original_front = get_saved_color(FRONT_FILE)
original_rear = get_saved_color(REAR_FILE)
try:
for i in range(3):
# Flash RED
requests.get(f'http://127.0.0.1:5000/device_color/{FRONT_MAC}/FF0000', auth=AUTH, timeout=0.3)
requests.get(f'http://127.0.0.1:5000/device_color/{REAR_MAC}/FF0000', auth=AUTH, timeout=0.3)
time.sleep(0.2)
# Off
requests.get(f'http://127.0.0.1:5000/device_color/{FRONT_MAC}/000000', auth=AUTH, timeout=0.3)
requests.get(f'http://127.0.0.1:5000/device_color/{REAR_MAC}/000000', auth=AUTH, timeout=0.3)
time.sleep(0.1)
# Restore original color
requests.get(f'http://127.0.0.1:5000/device_color/{FRONT_MAC}/{original_front}', auth=AUTH, timeout=0.3)
requests.get(f'http://127.0.0.1:5000/device_color/{REAR_MAC}/{original_rear}', auth=AUTH, timeout=0.3)
except Exception as e:
print(f"Visual alert error: {e}")
# --- LOAD RADAR DATABASE ---
radars = []
try:
with open(CSV_FILE, mode='r', encoding='utf-8') as f:
reader = csv.DictReader(f)
for row in reader:
try:
radars.append({
'type': row.get('tipo', 'Camera'),
'lat': float(row['latitud']),
'lon': float(row['longitud']),
'last_alert': 0
})
except:
continue
except FileNotFoundError:
exit(f"Error: {CSV_FILE} not found")
print(f"Monitor active: {len(radars)} radars loaded.")
gpsd = gps(mode=WATCH_ENABLE | WATCH_NEWSTYLE)
try:
while True:
report = gpsd.next()
if report['class'] == 'TPV':
my_lat = getattr(report, 'lat', 0.0)
my_lon = getattr(report, 'lon', 0.0)
my_speed = getattr(report, 'speed', 0.0) * 3.6
my_track = getattr(report, 'track', 0.0)
if my_lat == 0.0 or my_lon == 0.0:
continue
for r in radars:
dist = haversine(my_lat, my_lon, r['lat'], r['lon'])
now = time.time()
if dist < DISTANCE_ALERT and (now - r['last_alert'] > COOLDOWN):
radar_angle = calculate_bearing_to(my_lat, my_lon, r['lat'], r['lon'])
angle_diff = abs(my_track - radar_angle)
if angle_diff > 180:
angle_diff = 360 - angle_diff
if angle_diff <= CONE_THRESHOLD and my_speed >= MIN_SPEED:
print(f"[ALERT] {r['type']} at {dist*1000:.0f}m | Speed: {my_speed:.1f} km/h")
os.system(f'cat {AUDIO_ALERT} | nc -q 0 {DEVICE_IP} {DEVICE_PORT} &')
visual_alert_flash()
r['last_alert'] = now
time.sleep(0.5)
except KeyboardInterrupt:
print("\nStopping radar monitor.")License: This script is provided "as-is" for experimental use.
Tesla Warranty: Be aware that connecting third-party devices to the internal IC/CID network and attempting to send unauthenticated packets may void your warranty or cause system instability.
Local Laws: Ensure that using radar warning systems is legal in your jurisdiction.