traviscea

traviscea / DIY-ESP32-Race-Scales

Public

Project I developed to weigh all 4 corners of a vehicle using esp32's, hx711's, and load cells and presenting those measurements on webpage.

19
1
100% credibility
Found May 01, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
C++
AI Summary

Instructions for building a low-cost wireless system to measure corner weights on race cars for suspension tuning.

How It Works

1
🏎️ Discover affordable race scales

You watch a fun video demo of someone building cheap wireless scales for checking a race car's weight balance and decide to make your own.

2
🛒 Gather your parts

You order small boards, sensors, batteries, wood, and print simple holders to build four corner pads for under $100.

3
🔨 Assemble the corner pads

You wire sensors to boards and mount them on wood platforms, making four sturdy pads for each car wheel.

4
🔌 Set up the main hub

You prepare one main board to collect info from all pads and create a simple wireless network.

5
📱 Connect from your phone

You join the special WiFi network and open a easy web page to see live weights from all corners.

6
⚖️ Calibrate and zero

You place known weights, tap buttons to tune each pad, and zero everything so readings are spot-on.

🎉 Balance your race car

You drive the car onto the pads, watch real-time corner weights, and tweak suspension for perfect handling on the track.

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AI-Generated Review

What is DIY-ESP32-Race-Scales?

This C++ GitHub project repo builds wireless corner-weight scales for race cars using ESP32 boards, HX711 amps, and load cells. Place four pads under each tire to measure FL/FR/RL/RR weights in real time, solving the pain of $1000+ commercial systems with a $80-100 DIY setup. Users get a mobile web UI over WiFi for viewing data, zeroing, calibrating pads, switching lbs/kg, and stability-locked readings—no app needed.

Why is it gaining traction?

It hooks makers with dead-simple wireless ESP-NOW comms between pads and a master, plus smart filtering for rock-solid numbers on shaky garage floors. The browser-based controls beat fiddly Bluetooth apps, and a build video proves it works on real tires. As a C++ project GitHub example, it stands out for blending hardware and web without bloat.

Who should use this?

Track day drivers balancing suspension, DIY mechanics tweaking weight distribution, or garage tinkerers needing precise corner scales. Ideal for soldered-up hobbyists chasing pro results on a budget, like analyzing race car setups before laps.

Verdict

Worth forking for ESP32 C++ IoT if you're hardware-savvy—detailed docs, wiring, and 3D prints ease setup despite 19 stars and 1.0% credibility score signaling early maturity. Test it; low risk, high reward for personal use, but add tests or battery monitoring to boost it.

(198 words)

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