UNIHIKER K10 : AI Smart Store

"Has this ever happened to you?

Someone borrows your screwdriver, pliers, or wrench...

But then forgets to return it — or worse, you can’t remember who took it.

That’s why we created the AI Smart Tool Locker.

A system that uses QR codes and cameras to track every borrowed tool,

records who took it, when — and even alerts if the tool isn't returned on time.

Powered by Unihiker K10 ESP32-S3

Supplies

1. 1×UNIHIKER K10UNIHIKER K10 Form DFROBOT
2. 1×USB TYPE C
3. 2×Push Button
4. 1×QR CODE CARD

Step 1: AI Goals for Ai Smart Store

GoalDescription

✅ 1. Count number of borrowers Identify who borrows frequently / Which days have high tool usage

✅ 2. Analyze borrowing behavior Understand which tools each person prefers to borrow

✅ 3. Identify frequent late returns Find users who often return tools later than the allowed time

✅ 4. Predict return time Use ML to predict when a borrowed tool is likely to be returned based on past behavior

Step 2: Project Objective

In factories, schools, or makerspaces, borrowing tools like screwdrivers, pliers, and wrenches often leads to problems such as:

-Lost tools

-No record of who borrowed them

-Late or incomplete returns

-No centralized tracking

This project aims to solve these issues by creating an automatic tool lending/return system using:

📷 Dual QR code scanning

🔐 Servo-controlled tool cabinet locking

🌐 Web-connected system to log activity

🧠 AI-assisted analysis for future improvements

Step 3: System Overview

Each user ID card contains 2 QR codes:

Top-left QR = “Borrow”

Top-right QR = “Return”

📦 Borrowing Process:

🟢 Press a button to begin

📱 Scan the “Borrow” QR code on the card

🔓 System automatically unlocks the cabinet

🛠️ User takes a tool and scans the QR code on the tool (e.g., screwdriver, pliers, hex key)

🔒 The system automatically locks the cabinet

☁️ Data is uploaded to the web server, recording who borrowed what and when

📥 Returning Process:

🟢 Press the button again to begin

📱 Scan the “Return” QR code

🔓 Cabinet unlocks

🛠️ User places the tool back and scans its QR code

🔒 The cabinet is locked again

☁️ Return record is logged to the web server

Step 4: How AI Will Be Used

🔍 Detect if a tool is taken without scanning

📊 Analyze borrowing patterns (which tools are used most often)

🚨 Alert if a tool isn’t returned within the expected timeframe

🧠 Enable visual recognition as a backup if QR tags are damaged

Step 5: Key Features

🔐 Secure: Unlocks only after scanning an authorized card

🧾 Logged: Every borrow and return is recorded

🛠️ Specific: Tools are identified individually via QR codes

🌐 Expandable: System is web-connected and AI-ready

Step 6: EXAMPLE AI Table

Step 7: Code

Step 8: Circuit

Step 9: 3DPrint File

Step 10: Coming Soooon