Raspberry Pi Pico Project: Fake Cricket Chirp That Reacts to Temperature
Last Updated on September 13, 2025 by Engr. Shahzada Fahad
Table of Contents
Description:
Shhh… hear that? That’s not a real cricket. It’s a Raspberry Pi Pico pretending to be one; and it speeds up and slows down with the room temperature.
While I have explained everything in detail here, the real fun is in hearing the actual cricket chirp sound generated in this project. Since this article cannot include audio, I highly encourage you to watch my full video demonstration on the Electronic Clinic YouTube channel, where you can clearly listen to the chirping effect in action.
I designed a Raspberry Pi Pico–based cricket chirping sound system.
It uses a piezo buzzer on GPIO 9 for sound and a DS18B20 temperature sensor on GPIO 2 for live temperature.
We will test three versions of the code and evolve from ‘sounds like a buzzer’ to ‘wait… is that a real insect in my room?
I am also going to prank my brother with it; and let’s see how long it takes before he starts hunting for the “Cricket” that doesn’t exist.
Amazon Links:
Other Tools and Components:
ESP32 WiFi + Bluetooth Module (Recommended)
Arduino Nano USB C type (Recommended)
*Please Note: These are affiliate links. I may make a commission if you buy the components through these links. I would appreciate your support in this way!
Raspberry Pi Pico Development board:
By the way, this entire project is built around the Raspberry Pi Pico development board from Elecfreaks.
I have already written a detailed article about this board with multiple practically tested examples. In that guide, I explain everything from setting up the Thonny IDE to running your very first Pico programs.
If you are new to the Raspberry Pi Pico or just getting started, I highly encourage you to check it out; it will save you a lot of time and confusion while making the learning process fun. You can also read my full Raspberry Pi Pico Course.
THE RESEARCH & THE FORMULA:
To make a fake cricket sound real, I started with the biology and the math.
Crickets make sound by rubbing their wings, producing a carrier tone around 4 to 4.5 kHz.
Their chirps aren’t one long beep; they are bursts of mini-pulses, just a few milliseconds each, with tiny gaps in between.
And here’s the kicker:
temperature changes chirp rate. This is captured by Dolbear’s Law.
For the classic case, the relationship can be used like this:
Chirps per minute = 4 × (Temperature in °F − 40)
Invert that and you get the average time between chirps:
Mean Interval (s) = 15 / (T°F − 40).
Warm night? Faster chirps.
Cooler night? Slower.
Real crickets also add jitter; about ±5 to 15%; and sometimes take long, unpredictable pauses.
So our code needs:
- a carrier tone
- pulses
- temperature-driven timing
- jitter, and
- occasional long gaps
HOW I TRANSLATED RESEARCH TO CODE
My plan is to start with a simple 4 kHz chirp, add a tiny frequency sweep for texture, then bring in temperature control, fine-tune the timing, and finish with natural-sounding randomness.
The Basic Chirp
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from machine import Pin, PWM import time import urandom buzzer = PWM(Pin(9)) def chirp(): # A cricket chirp has 2-3 fast mini-pulses for _ in range(urandom.randint(2, 3)): # Sweep frequency slightly to make it more natural for f in range(4000, 4500, 50): buzzer.freq(f) buzzer.duty_u16(50000) # about 30% duty time.sleep(0.004) buzzer.duty_u16(0) time.sleep(0.015) # short gap between mini-pulses def cricket_loop(): while True: chirp() # Random pause between bursts to avoid robotic feel time.sleep(urandom.uniform(2.0, 8.0)) try: cricket_loop() except KeyboardInterrupt: buzzer.deinit() |
Code Explanation:
Code 1 is our starter.
It doesn’t know anything about temperature yet; just how to chirp.
We call chirp() which plays 2 to 3 mini-pulses.
Each mini-pulse sweeps from 4000 to 4500 Hz in 50 Hz steps.
Each step lasts 4 ms, and we stop for 15 ms between mini-pulses.
After a chirp, we wait a random 2 to 30 seconds before the next one to avoid a robotic loop.
The duty is set around 50,000 on a 0–65,535 scale, which is a solid, audible level for most piezos.
Let’s go ahead and run this code.
Watch video for Practical Demonstration.
Why it’s not enough:
Real crickets speed up with heat and slow down with cold.
Code 1 ignores that. The inside of each chirp; pulse lengths and gaps; also stay the same, which isn’t how nature behaves.
So, we are going to add a temperature sensor to the Raspberry Pi Pico.
I am going to use DS18b20 waterproof one-wire digital temperature sensor.
Connect the voltage and ground wires to the Raspberry Pi Pico 3.3V and GND pins. And connect the data wire of the DS18b20 to the GP2.
And let me tell you the buzzer is connected to GP9. That’s all about the interfacing.
CODE 2: Add DS18B20 Temperature Sensor
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from machine import Pin, PWM import time import urandom import onewire, ds18x20 # Initialize buzzer buzzer = PWM(Pin(9)) # Setup DS18B20 temperature sensor on GPIO 2 (adjust if needed) ow = onewire.OneWire(Pin(2)) ds = ds18x20.DS18X20(ow) roms = ds.scan() if not roms: raise Exception("No DS18B20 sensors found!") def get_temperature_c(): ds.convert_temp() time.sleep_ms(750) return ds.read_temp(roms[0]) def chirp(): for _ in range(urandom.randint(2, 3)): # Slight frequency sweep to add realism for f in range(4000, 4500, 50): buzzer.freq(f) buzzer.duty_u16(50000) time.sleep(0.004) buzzer.duty_u16(0) time.sleep(0.015) def cricket_loop(): try: while True: # Read temperature temp_c = get_temperature_c() temp_f = temp_c * 9 / 5 + 32 print("Temperature: {:.2f}°C / {:.2f}°F".format(temp_c, temp_f)) # Base delay from Dolbear’s Law if temp_f > 41: base_delay = 15 / (temp_f - 40) else: base_delay = 2.0 # safe fallback # Randomized delay between 1–30 sec, weighted by temperature wait_time = urandom.uniform(1, 30) * (base_delay / 2) wait_time = min(max(wait_time, 1), 30) # clamp to 1–30 sec print("Next chirp in {:.2f} seconds".format(wait_time)) # Chirp burst chirp() # Wait before next burst time.sleep(wait_time) except KeyboardInterrupt: buzzer.deinit() # Start it cricket_loop() |
Code 2 Explanation:
Code 2 brings in live temperature with the DS18B20 Temperature Sensor. We scan the sensor on GPIO 2, read the temperature in Celsius °C and convert it in to Fahrenheit °F, and print the temperature so we can see what’s happening.
Then we use Dolbear’s Law to compute a base delay:
base_delay = 15 / (temp_f – 40) if it’s warm enough, otherwise we fall back to 2 seconds to be safe at low temperatures.
But to keep things organic, we don’t just wait that exact delay. We randomize the pause to 1–30 seconds and weight it with the base delay so warmer temperatures trend shorter pauses on average. We clamp it to 1 to 30 seconds so it stays watchable and doesn’t vanish for ages. You can increase and decrease this number; it’s totally up to you.
Anyway, let’s go ahead and Run this Script.
Practical Demonstration:
Watch video tutorial on my YouTube Channel.
Now the spacing between chirps responds to the room temperature.
Hotter > generally faster;
cooler > generally slower.
Limitations: Inside the chirp, the micro-timing (pulse duration and pulse gaps) still doesn’t change with temperature. Also, the weighting method can feel a bit arbitrary; sometimes the randomness dominates the science.
CODE 3: The Final, Realistic Cricket
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from machine import Pin, PWM import time import onewire, ds18x20 from random import randint, uniform # ----------------------- # Hardware setup # ----------------------- BUZZER_PIN = 9 # change if needed DS18B20_PIN = 2 # DQ pin of DS18B20 (adjust to your wiring) buzzer = PWM(Pin(BUZZER_PIN)) buzzer.duty_u16(0) # start silent ow = onewire.OneWire(Pin(DS18B20_PIN)) ds = ds18x20.DS18X20(ow) roms = ds.scan() if not roms: raise Exception("No DS18B20 sensors found! Check wiring/pin/pull-up.") # ----------------------- # Cricket/acoustic params # ----------------------- BASE_FREQ = 4170 # ~4.17 kHz fundamental SWEEP_START = 4000 SWEEP_STOP = 4500 SWEEP_STEP = 50 # Hz step during micro-sweep DUTY = 38000 # loudness (0..65535). Adjust to taste. # Pulse structure (per chirp) MIN_PULSES = 3 # 3–5 pulses per chirp feels natural MAX_PULSES = 5 # Long pause odds & range LONG_PAUSE_CHANCE = 10 # 1 in 10 chirps on average LONG_PAUSE_RANGE = (2.0, 10.0) # 5.0 20.0 seconds # Safety clamps for intervals MIN_INTERVAL = 0.25 # s (don’t go crazy fast) MAX_INTERVAL = 2.0 # s (realistic upper bound for cold) def get_temperature_c(): """Read DS18B20 with retry in case of CRC error or None.""" for _ in range(3): # try up to 3 times try: ds.convert_temp() time.sleep_ms(750) t = ds.read_temp(roms[0]) if t is not None: return t except Exception as e: #print("Temp read failed:", e) time.sleep(1) # short wait before retry # If still failing, return a fallback temp (e.g., room temp) print("Using fallback temperature 25.0°C") return 25.0 def mean_interval_from_temp(temp_c): """ Dolbear’s Law (snowy tree cricket): T_F = 40 + (ChirpsPerMinute / 4) -> CPM = 4*(T_F - 40) -> mean_interval = 60 / CPM = 15 / (T_F - 40) """ temp_f = temp_c * 9/5 + 32 if temp_f <= 41: # avoid division by ~0 / unrealistic cold mean_interval = 2.0 else: mean_interval = 15.0 / (temp_f - 40.0) # clamp to a sensible range seen in field recordings mean_interval = max(MIN_INTERVAL, min(MAX_INTERVAL, mean_interval)) return mean_interval, temp_f def temp_scaled_pulse_timing(temp_c): """ Warmer -> faster micro-structure: - pulse duration ~3–5 ms - gap between pulses ~8–20 ms """ # Map temperature (10–35°C typical outdoor night range) to timing t = max(10.0, min(35.0, temp_c)) # Shorter step time when warm # 35°C -> 0.003s, 10°C -> 0.005s step_time = 0.005 - ( (t - 10.0) * (0.005 - 0.003) / (35.0 - 10.0) ) # Shorter inter-pulse gap when warm # 35°C -> 0.008s, 10°C -> 0.020s pulse_gap = 0.020 - ( (t - 10.0) * (0.020 - 0.008) / (35.0 - 10.0) ) # Small natural jitter step_time *= uniform(0.95, 1.05) pulse_gap *= uniform(0.95, 1.05) return step_time, pulse_gap def chirp(temp_c): """ One chirp = 3–5 quick pulses. Each pulse: small frequency sweep to add texture. """ pulses = randint(MIN_PULSES, MAX_PULSES) step_time, pulse_gap = temp_scaled_pulse_timing(temp_c) for _ in range(pulses): # slight upward sweep for f in range(SWEEP_START, SWEEP_STOP, SWEEP_STEP): buzzer.freq(f) buzzer.duty_u16(DUTY) time.sleep(step_time) buzzer.duty_u16(0) time.sleep(pulse_gap) def cricket_loop(): try: chirp_count = 0 while True: # 1) Read temperature temp_c = get_temperature_c() mean_interval, temp_f = mean_interval_from_temp(temp_c) # 2) Compute next interval: # - natural ±10% jitter around Dolbear mean interval = mean_interval * uniform(0.90, 1.10) # 3) Occasionally insert a long pause (like real crickets) chirp_count += 1 long_pause = 0.0 if randint(1, LONG_PAUSE_CHANCE) == 1: long_pause = uniform(*LONG_PAUSE_RANGE) # 4) Print diagnostics so you can see what's happening print("Temp: {:.2f}°C / {:.2f}°F | MeanInt: {:.3f}s | NextInt: {:.3f}s{}" .format( temp_c, temp_f, mean_interval, interval + long_pause, " + LongPause({:.2f}s)".format(long_pause) if long_pause > 0 else "" )) # 5) Play one chirp chirp(temp_c) # 6) Wait until next chirp time.sleep(interval + long_pause) except KeyboardInterrupt: pass finally: buzzer.duty_u16(0) buzzer.deinit() # Go! cricket_loop() |
Code 3 Explanation:
Code 3 is where it gets convincing. We keep the DS18B20, but we deeply integrate the research:
Mean Interval from Temperature
We calculate the mean interval straight from Dolbear’s Law:
mean_interval = 15.0 / (temp_f – 40.0)
clamp it between 0.25 seconds and 2.0 seconds so extreme readings don’t produce impossible rhythms.
Natural Jitter
Each chirp’s timing gets a ±10% random jitter:
interval = mean_interval * uniform(0.90, 1.10)
This makes it sound more natural and real.
Occasional Long Pauses
About 1 in 10 chirps triggers a long rest between 5 and 20 seconds; just like the unpredictable pauses real crickets make.
Temperature-Scaled Micro-Timing
Inside the chirp, we adjust the step time and the gap between pulses based on temperature.
Around 10°C, pulses are longer and gaps are wider (slower feel).
Around 35°C, pulses are shorter and gaps are tighter (fast, urgent feel).
We still do the 4–4.5 kHz sweep for texture, but now its speed is temperature-aware.
Diagnostics You Can Trust
Every chirp prints:
Temp °C/°F | MeanInt | NextInt [± LongPause]
so you can see exactly why it’s chirping when it does.
Sound Tuning
We use a duty around 38,000 (a bit gentler) and keep 3 to 5 pulses per chirp. That pulse count range also adds realism.
WHY CODE 3 IS THE BEST?
Code 3 wins because it layers biology on top of math:
- A realistic base tone with a sweep for texture.
- Pulse shapes and gaps that shift with temperature,
- Dolbear timing for the big picture,
- Small timing shifts and occasional long pauses for realism
- And defensive clamps so the sound never gets silly.
- It’s the closest thing to a real cricket without… catching one.
Let’s go ahead and run this Script.
Practical Demonstration:
Right now, the DS18B20 is reading the room temperature in real time; you can see it printing both Celsius and Fahrenheit on the screen.
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Temp: 33.50°C / 92.30°F | MeanInt: 0.287s | NextInt: 0.260s Temp: 33.50°C / 92.30°F | MeanInt: 0.287s | NextInt: 0.264s Temp: 33.50°C / 92.30°F | MeanInt: 0.287s | NextInt: 0.275s Temp: 33.50°C / 92.30°F | MeanInt: 0.287s | NextInt: 0.265s Temp: 33.50°C / 92.30°F | MeanInt: 0.287s | NextInt: 0.283s Temp: 33.56°C / 92.41°F | MeanInt: 0.286s | NextInt: 0.282s Temp: 33.56°C / 92.41°F | MeanInt: 0.286s | NextInt: 0.283s Temp: 33.50°C / 92.30°F | MeanInt: 0.287s | NextInt: 0.298s Temp: 33.44°C / 92.19°F | MeanInt: 0.287s | NextInt: 0.284s Temp: 33.56°C / 92.41°F | MeanInt: 0.286s | NextInt: 17.364s + LongPause(17.06s) Temp: 33.44°C / 92.19°F | MeanInt: 0.287s | NextInt: 0.316s Temp: 33.44°C / 92.19°F | MeanInt: 0.287s | NextInt: 0.267s Temp: 33.50°C / 92.30°F | MeanInt: 0.287s | NextInt: 0.264s Temp: 33.50°C / 92.30°F | MeanInt: 0.287s | NextInt: 0.299s Temp: 33.56°C / 92.41°F | MeanInt: 0.286s | NextInt: 9.766s + LongPause(9.46s) Temp: 33.44°C / 92.19°F | MeanInt: 0.287s | NextInt: 0.313s Temp: 33.50°C / 92.30°F | MeanInt: 0.287s | NextInt: 0.295s Temp: 33.50°C / 92.30°F | MeanInt: 0.287s | NextInt: 8.752s + LongPause(8.46s) Temp: 34.44°C / 93.99°F | MeanInt: 0.278s | NextInt: 0.304s Temp: 34.81°C / 94.66°F | MeanInt: 0.274s | NextInt: 0.255s Temp: 25.00°C / 77.00°F | MeanInt: 0.405s | NextInt: 0.422s |
Based on that reading, Dolbear’s Law is calculating the mean interval between chirps.
Listen closely; the chirps aren’t perfectly regular. Each one has about ten percent random jitter, so it feels natural.
Every so often, the code triggers a long pause, just like a real cricket taking a break; you will see it print something like ‘LongPause(9.46s)’ right here in the log.
I am going to heat the sensor; just enough to raise the temperature.
Look at the reading.
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Temp: 48.25°C / 118.85°F | MeanInt: 0.250s | NextInt: 0.244s Temp: 48.44°C / 119.19°F | MeanInt: 0.250s | NextInt: 0.274s Temp: 48.56°C / 119.41°F | MeanInt: 0.250s | NextInt: 0.252s Temp: 48.69°C / 119.64°F | MeanInt: 0.250s | NextInt: 0.247s Temp: 48.81°C / 119.86°F | MeanInt: 0.250s | NextInt: 0.237s Temp: 48.94°C / 120.09°F | MeanInt: 0.250s | NextInt: 0.261s Temp: 49.06°C / 120.31°F | MeanInt: 0.250s | NextInt: 0.262s Temp: 49.19°C / 120.54°F | MeanInt: 0.250s | NextInt: 0.228s Temp: 49.25°C / 120.65°F | MeanInt: 0.250s | NextInt: 0.241s Temp: 49.31°C / 120.76°F | MeanInt: 0.250s | NextInt: 0.231s Temp: 49.44°C / 120.99°F | MeanInt: 0.250s | NextInt: 0.275s Temp: 49.50°C / 121.10°F | MeanInt: 0.250s | NextInt: 0.266s Temp: 49.63°C / 121.32°F | MeanInt: 0.250s | NextInt: 0.229s Temp: 0.00°C / 32.00°F | MeanInt: 2.000s | NextInt: 2.192s Temp: 50.00°C / 122.00°F | MeanInt: 0.250s | NextInt: 0.261s Temp: 50.06°C / 122.11°F | MeanInt: 0.250s | NextInt: 0.270s Temp: 50.19°C / 122.34°F | MeanInt: 0.250s | NextInt: 0.267s Temp: 50.25°C / 122.45°F | MeanInt: 0.250s | NextInt: 0.235s Temp: 50.31°C / 122.56°F | MeanInt: 0.250s | NextInt: 0.274s Temp: 50.38°C / 122.68°F | MeanInt: 0.250s | NextInt: 17.576s + LongPause(17.32s) |
And listen; the chirps are speeding up instantly. The gaps are shrinking, and the tone feels more urgent, just like a real cricket on a hot evening.
Now I am placing the sensor into cold water. Watch how fast it drops.
Hear that? The chirps slow down, the pauses stretch, and the whole rhythm feels calmer, just like a cold winter night.
All of this is happening automatically;
- the frequency sweep,
- the random jitter,
- the long pauses;
Perfectly synced with the actual temperature, thanks to Dolbear’s Law coded right here on the Raspberry Pi Pico.
The frequency sweep from 4.0 to 4.5 kilohertz adds that raspy wing-scrape quality, so it’s not just a plain beep; it’s alive. And all of this is happening right now, driven by the math, the sensor, and a few dozen lines of MicroPython.
How I Drove My Brother Crazy with a Fake Cricket
I am in my brother’s room, looking for the perfect hiding spot… and the cupboard is just perfect.
I am hiding it inside; let’s see how long it takes before he starts tearing the place apart looking for a cricket that isn’t there.
A few moments later, I am in the Lab, and I can see my brother looking a little restless.
He’s glancing around, clearly puzzled, and I can hear him saying, “Where is this sound coming from”?
I even misled him a bit; told him to check under the sofa; and he actually did it!
The prank worked perfectly because I set the pause to be random; up to five minutes.
Sometimes it’s just a few seconds, sometimes a couple of minutes, and sometimes the full five.
That randomness makes it feel exactly like a real cricket, which makes it so much harder to track down.
Anyway, I finally told him it’s not a real cricket… it’s just my Raspberry Pi Pico hidden in his cupboard, making all the noise. The look on his face was priceless.
Now it’s your turn to pull this prank!
Build your own cricket chirping system and watch people go crazy trying to find it.
head over to my Patreon page to get the complete project folder and start chirping like a pro.
So, that’s all for now.
FAQs
1. What is the Raspberry Pi Pico cricket chirp project?
Answer: It is a DIY electronics project that uses a Raspberry Pi Pico, a DS18B20 temperature sensor, and a piezo buzzer to create a fake cricket sound. The chirp rate realistically changes with the ambient temperature, mimicking a real cricket’s behavior based on Dolbear’s Law.
2. How does the device change the chirp speed with temperature?
Answer: The project uses Dolbear’s Law, a scientific formula that connects a cricket’s chirp rate to the temperature. The DS18B20 sensor reads the room temperature, and the MicroPython code uses the formula to calculate the correct delay between chirps. Warmer temperatures result in shorter delays (faster chirps), and cooler temperatures create longer delays (slower chirps).
3. What components are required to build this cricket sound project?
Answer: The core components are a Raspberry Pi Pico, a DS18B20 temperature sensor, and a 5V piezo buzzer. You will also need a breadboard and connecting wires to assemble the circuit.
4. What makes the final code in the project so realistic?
Answer: The final code is highly realistic because it layers several natural behaviors on top of the basic chirp. It incorporates:
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Dolbear’s Law for accurate speed based on temperature.
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Natural Jitter (±10% timing variation) to avoid a robotic rhythm.
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Occasional Long Pauses to mimic a real cricket taking a break.
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Temperature-Scaled Micro-Timing, which changes the pulse duration inside each chirp.
Watch Video Tutorial:
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