AI smart fishing rod

A device that clips onto the rod and measures the distance of every cast in real time, without touching the line. Advanced sensors and artificial intelligence to take surfcasting to the next level.

Surfcasting Sensors + AI iOS / Android app
Real time the distance of every cast, instantly
No line contact it doesn’t alter the angler’s technique
On-board AI the model learns and refines the estimate

The problem: guessing isn’t good enough

In surfcasting, cast distance is everything — and it’s exactly the hardest thing to know precisely.

Manual methods get in the way

Counting reel turns or measuring the line alters your technique and never gives a reliable, repeatable number.

No data, no improvement

Without logging power, angle and conditions, it’s impossible to compare casts and improve objectively.

How it works

A sensor on the rod, an app on your phone and an AI model that learns with you.

Real-time measurement

An inertial sensor clipped to the rod computes the distance of every cast instantly, without touching the line.

Every cast logged

It records the power, angle and conditions (wind, temperature, pressure, tides) of each cast.

AI that learns with you

A neural network model analyzes your casts, estimates the distance and helps fine-tune your technique.

All on your phone

An iOS/Android app synced over BLE, with a digital fishing log, heat maps and your data in the cloud.

Device design with rod clip
The device design, with a direct clip to the rod.
Prototype exploded view: custom modular PCB, inertial sensor, battery and 3D-printed housing
Inside the prototype: custom electronics, inertial sensor, battery and 3D-printed housing.

What we built

End-to-end development, from the electronics to the AI model.

Custom hardware

Own modular PCB, inertial sensor, LiPo battery and a 3D-printed housing with a firm, ergonomic clip to the rod.

Firmware

Capture and filtering of the sensor data and BLE communication with the app.

App and backend

Cross-platform mobile app, cloud database, user access and per-cast synchronization.

Artificial intelligence

Design and training of a neural network model to estimate distance from the captured data.

Technology

The whole stack, from the sensor to the cloud.

  • Inertial sensor (IMU)
  • ESP32 microcontroller
  • BLE connectivity
  • MQTT
  • Neural network (AI)
  • Native iOS / Android app
  • Cloud database
  • Custom modular PCB
  • LiPo battery
  • 3D-printed housing
  • Firmware with OTA
  • Encrypted storage

End-to-end development by RobotUNO

Custom electronics, firmware, a cross-platform app and an AI model: a product taken from concept to working prototype. Have a similar project?

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