Chipsetron-Ultracore VX: A Heterogeneous VLSI-Based Controller for Intelligent IoT, Automation, and Real-Time Edge Systems

Kausthubh Y. V. D.*, Ravi Kishore G.**, Sandeep Chilumala***
*-*** Vidya Jyothi Institute of Technology, Hyderabad, India.
Periodicity:October - December'2025

Abstract

The growing complexity of embedded systems and IoT applications demands high-performance, energy-efficient, and versatile hardware platforms. This paper presents Chipsetron, a custom-designed VLSI microcontroller built around a proprietary 32-bit processor core tailored for modern automation, robotics, and edge computing environments. Chipsetron integrates advanced architectural features, including a pipelined RISC core, an embedded GPU for parallel data processing, and a comprehensive interrupt management system with Non-Maskable Interrupt (NMI) support for real-time fault handling. It offers extensive peripheral connectivity, including 32 GPIOs, UART, SPI, I2C, eight PWM channels, a 10-channel 12-bit ADC, and a DAC for analog output. Emphasizing both computational power and system resilience, Chipsetron supports seamless interaction with sensors, actuators, and communication modules. The chip is designed to operate efficiently in power-sensitive environments while offering scalability for both prototyping and deployment. Simulation-based validation confirms its performance and responsiveness, positioning Chipsetron as a robust platform for intelligent embedded applications in domains such as smart infrastructure, environmental monitoring, and autonomous systems.

Keywords

VLSI Microcontroller, Embedded Systems, Peripheral Integration, Pipelined Architecture, Smart Automation, Edge Computing, Signal Processing.

How to Cite this Article?

Kausthubh, Y. V. D., Kishore, G. R., and Chilumala, S. (2025). Chipsetron-Ultracore VX: A Heterogeneous VLSI-Based Controller for Intelligent IoT, Automation, and Real-Time Edge Systems. i-manager’s Journal on Electronics Engineering, 16(1), 42-49.

References

[3]. Kumar, A., Malhotra, S., Dias, I., & Lee, K. (2024). Active Blended Learning model for teaching IoT application development course: A case study. Journal of Engineering Education Transformations, 425-431.
[5]. Liu, Y. (2024). Resource sharing of ideological and political education in universities based on the development of the Internet of Things. Revista Ibérica de Sistemas e Tecnologias de Informação, (E67), 351-361.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 15 15 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.