INTRODUCTION

Byte, a cutting-edge technology company, developed Smart Kiosk, a Computer Vision-enabled fridge, revolutionizing 24/7 product sales with automated purchase tracking and billing.

BUSINESS OBJECTIVES

The goals for the Iomico team were to enhance Smart Kiosk's hardware and software for better market alignment, focusing on:

• Modular electronics architecture design.

• Integration of Computer Vision technology using NVIDIA Jetson AI hardware.

• Enhancement of back-office software.

BUSINESS PROBLEM/OPPORTUNITY

The project aimed to:

• Improve product-market fit.

• Enhance customer experience with innovative features.

• Ensure compliance with food safety regulations.

• Enhance power efficiency and sensor capabilities.

APPROACH

Electronics Development:

• Redesign of peripheral board to accommodate larger LCD, credit card reader, and interface with client's PCBA.

• Optimization of fridge microcontroller for IIoT.

• Selection of microcontroller with sufficient memory and processing power.

• Implementation of cellular modem with dual antennas for redundancy.

• Integration of temperature measurement systems and presence detection sensor.

• Addition of odor sensor for spoilage detection.

Android Development:

• Creation of embedded Android app for client-fridge communication.

• Functions included server communication, product list retrieval, payment processing, and real-time monitoring.

• Dynamic pricing based on product expiration.

• Temperature threshold alerts and kiosk lockdown.

• Regular status reporting to online dashboard.

TECHNICAL DETAILS

• Hardware: MIPI CSI, FPD-Link III, USB, RFID UHF, Wi-Fi, Bluetooth 5.0, RTSP, RTMP, CMOS, temperature sensor, humidity sensor, HDMI interface, NXP, NVIDIA

• Software: C++, Java, PostgreSQL, Firebase, QT, RxJava 2, MPAndroidChart, Docker, AWS

LESSONS LEARNED

• Importance of modular design for scalability and flexibility.

• Value of integrating advanced sensors for enhanced functionality.

• Significance of real-time monitoring and remote management.

• Need for robust security measures for data protection.

CONCLUSION

Byte's Smart Kiosk project exemplifies innovative integration of Computer Vision and IoT technologies to redefine automated retail experiences. Through collaborative efforts and technological expertise, the project successfully addressed market needs and enhanced customer satisfaction.

"We're impressed by how their hardware and software skills blend well with each other ."

Ujwal Setlur, CTO of Byte Technology