The Team's

Hi, I'm Al Ghazaly

My name is Muhammad Imam Al Ghazaly, usually called Al.

I'm from Indonesia 🇮🇩.

I am 9 years old. I am currently in grade 4 at Lazuardi GCS.

I have a hobby of playing games.

Because of my hobby, I learned coding so I could make my own games and toys.

My Mentor

My mentor is Mr. Indra Rosadi.

SmartGateBot

SmartGateBot is a Smart Security, Fast Access ! 🔐⚡

Increase security and efficiency with an AI-based automated gate system.

Faster access, smarter control!

Problem

The security system for manual gate operations are still widely used in residential, commercial, and industrial areas, leading to:

Security vulnerabilities due to human error or negligence
Inefficiency and delays during peak access hours
Delays or loss of delivery packages
High labor costs for 24/7 security staffing
Lack of real-time tracking or access data

Solution

The solution to the problem of developing :

SmartGateBot begins with a shift from using RFID as the main access to developing an object detection system, such as “faces of housing residents” and “vehicle number plates", which will be stored in a database. With this system, problems with RFID can be overcome.
Additionally, to overcome memory limitations on the Arduino Uno, the device will be upgraded to use ESP32 integrated with “Adafruit”, enabling seamless data management.
In developing the face detection and number plate recognition features, ESP32-CAM camera module and “Raspberry Pi” will be integrated as additional data processors, which are able to handle image processing algorithms better. To increase hardware reliability in extreme weather conditions, the prototype is equipped with a waterproof casing on the RFID reader and other components, while the servo motor is protected with a rubber layer to prevent damage from water or dust.

Existing Solutions

Smart Access Gate System is companies that provide secret gate solutions using Anomaly Detection, RFID technology, biometrics, and vehicle number plate recognition for housing, offices, or public facilities.

Lack of existing gates :

High implementation costs
Lack of Flexibility for Small Scale
Reliance on Internet Infrastructure.

Unique Selling Proposition (USP)

Our SmartGateBot Unique Selling Proposition are :

Cost effective version
Hybrid System
All-in-One Solution ⟶ Hardware + AI + Cloud = Seamless system.
Touchless Entry ⟶ Perfect for hygiene-conscious environments.
Smart & Adaptive ⟶ Machine learning improves over time
Low Maintenance ⟶ Set it and forget it
Future-Ready ⟶ Over-the-Air updates, always up to date.

Project's Development Process

Project Initiation

This project was initiated by the entrance gates in each housing complex which were still manual. So that many problems arise, such as theft, accumulation of packages, and difficulty accessing when the security guard is sleeping.

I will make an automatic gate that is integrated with an AI system which will certainly be cheaper and more affordable than the automatic gates that currently exist.

Base on the reason I choose Industry, Innovation and Infrastructure as a theme for my project.

The Project's Purpose

SmartGateBot is designed to address the above challenges by offering an advanced, automated gate security solution. Its mission is to:

Enhance Efficiency and Streamline Access
Improve Security Measures
Reduce Operational Costs and Human Dependency
Enable Data-Driven Decision Making

Project Planning

Project plan overview :

Make a concept (initiation & planning), I choose SmartGateBot as the name of my project.
Find and Choose the hardware
Development (software coding & hardware integration)
Testing, monitoring & evaluation

S.M.A.R.T Goal :

Specify : Develop an AI-driven, automated gate security system that integrates QR code scanning, biometric verification, and facial recognition.
Measure : Achieve a security verification accuracy of 98%.
Achievable: Integrated between hardware and software (pictoblox)
Realistic: the project aligns with market demands for enhanced security and efficiency.
Timely : 3 months

SmartGateBot Project Timeline

Project Execution

Make the concept first

Selecting Hardware

Routing Cables on Hardware

Hierarchical Block

Block I (ML for Detection Face & Vihacle Plat Number)

Block II (ESP32 for Input from ML & Website)

Block III (Arduino for Output from ESP32 & RFID)

Integration with Adafruit (IoT Remote Control)

Developing a Website for Smartphone Integration

Click here to open the gate

The 3D Video For Ilustration of SmartGateBot

video anomali detection.mp4

The feature of the Adafruit interface is that it can detect anything suspicious and will automatically provide a sound response from the buzzer.

using barcode.mp4

Open the gate by using interface with adafruit

Click here to open the gate

using face recognation.mp4

Open the gate by machine learning ( using image recognition or vehicle plat number)

using rfid.mp4

Open the gate using RFID tag

Project monitoring & controlling

Project monitoring with the mentor is carried out after discussing the project concept.

⚠️ System Testing & Performance Evaluation:

✅ IoT Remote Control Testing (Adafruit IOT)

✅ Face recognition testing & vehicle plate recognition testing

✅ RFID Access Testing

⚠️ Debugging & Issue Resolution : some bugs and system inefficiencies were identified and resolved.

⚠️ Feedback Collection & System Improvement : feedback was collected from mentors and testers to refine the system.

Monitoring is carried out after selecting hardware & Software that matches the project specifications.

Monitoring is carried out when testing the hardware to ensure that all components are functioning properly and that nothing is damaged

Monitoring is carried out after the cable routing process, by checking each pin to ensure the connection between the ESP32 and the sensors is connected correctly.