Category Archives: News

All information and Event details from Digitronix Nepal. We publish our ongoing projects at this menu.

05Sep/24

LogicTronix demonstrated at AMD AECG Tech Day – 2024, Bengaluru, India

LogicTronix is the partner of AMD-Xilinx for FPGA Design and Machine Learning Acceleration, as the Partner we got an opportunity to participate and demonstrate our work at AMD Tech Day event. At the “AMD Adaptive & Embedded Computing Tech Day – Bengaluru, India” at August 20th 2024, LogicTronix demonstrated some of our latest “FPGA Accelerated and Edge AI” solutions.

In the event we demonstrated:

  1. “Object Detection and Tracking with Event Vision-Based Sensors” – LogicTronix Kria App: https://www.amd.com/en/developer/resources/kria-apps/object-detection-and-tracking.html
  2. ANPR + Multichannel & MultiML Model – LogicTronix Kria App : https://www.youtube.com/watch?v=BnZj490tqik [Demo Video]
  3. Kria Motor Drive + ML – LogicTronix Kria App for predictive maintenance application for industries [public demo coming soon!]

In the event we got an overwhelming response to our “FPGA Accelerated and AI Solutions” solutions from customers and partners. These solutions are targeted for Automotive, Industrial and SmartCity applications. We also interacted with some of Defense & Aerospace customers for different possibility and opportunities in A & D industries.

Some of the highlight of events are here:

More details and agendas of the AMD-Xilinx Event can be found at here: https://cvent.me/zGLZrl

We are thankful to AMD-Xilinx APAC team, AMD-Xilinx India Team, Excelpoint Team, Avnet Team, Partners and Customers for their supports and engagement with us!

18Jun/23

LogicTronix- Proud Supplier & Partner

LogicTronix is Proud Supplier of “Top 5 Semiconductor Company” and also being Proud Supplier of Tier-1 Automotive Companies.

Along with these global collaboration and opportunities we are also providing services and solutions to top Medical System Manufacturer, Top AI Hardware (Platform and Smart Systems/Appliances) OEM and edge AI Accelerator Companies!

Our focus and deliveries to global companies is for better and Accelerated AI Solutions for different industries and applications!

22Mar/22

LogicTronix ANPR is now available for Asia Pacific and North America

LogicTronix ANPR is now available for India, Thailand, Malaysia, Vietnam and Japan in Asia Pacific Countries. Our Solution is also available for North America.

You can contact us (info@logictronix.com) or our distributor in those countries for “evaluation of LogicTronix ANPR”.

LogicTronix ANPR is AI Enabled “Smart Parking Solution” which consists of Machine Learning models for detection and recognition of license plates with high accuracy. It supports English Character based License Plates as well as Regional Language based License Plates.

Our ANPR Solution is suitable for Parking Management Companies, Shopping Malls, Conference Centers, Public Parking Spaces and Toll Booth Management Companies!

Watch demo of LogicTronix-ANPR from AMD-Xilinx Webinar on Kria SoM:

Feature of LogicTronix-ANPR:

  1. Our ANPR is complete Edge based solution and also have cloud based feature!
  2. Developed with Xilinx MPSoC [EV / EG Series] FPGA platform, works with Xilinx Kria SoM, and multi-vendor SoMs on Xilinx MPSoC,
  3. GUI Functionality for easy User Interface,
  4. Work for standard number plates as well as number plates in regional language!
  5. Can took multiple RTSP/IP-camera streams (4 or upto 8) depending on the configuration and requirement,
  6. Ready to deploy and plug-and-play solution,
  7. Customers can get timely Solution-Update with “Additional Features” on request, remote feature update functionality.

For any queries and evaluation, please write us at: info@logictronix.com.

19Sep/21

LogicTronix is “Xilinx Certified Alliance Partner”

Xilinx has recognized LogicTronix as a Certified Partner of the Xilinx Alliance Program, LogicTronix is also “Design Service Partner for AI/ML of Xilinx for Kria SoM”. The “Certified Partner” category require to complete rigorous and pre-defined certification process of the engineering team of partner company, by that process we were able to become “Certified Partner” of Xilinx.

Xilinx’s “Partnership” programs has three categories in which “Alliance Member” or “Member Partner” is the one, LogicTronix was on that tier of partnership since from early 2021. Another tier is “Certified Partner”, in this category there are very less number of qualified companies throughout the world, among them LogicTronix is the one now.

For more information about our Partnership with Xilinx, Services we offer, market we support, our design competencies and our FPGA IP Portfolio released via Xilinx IP Page, please visit: https://www.xilinx.com/alliance/memberlocator/1-1dturdk.html

LogicTronix has specialization on accelerating computer vision and machine learning applications on FPGA. We offer solution on Surveillance and Security, Finance and Embedded Applications/Solutions. We provide Design services on FPGA Design, turnkey solutions on AI/ML acceleration and also provide FPGA IP cores to our customers.

25Apr/21

LogicTronix is Design Service Partner for Xilinx Kria-SoM for AI/ML

LogicTronix is selected as “Design Service Partner for AI/ML” for newly launched Xilinx Kria-SoM family of MPSoC FPGA Devices. LogicTronix Xilinx Kria SoM Partnership Link: Kria SoM-LogicTronix

The Kria family of MPSoC FPGA released at April 20th, 2021 and SoM built on it are best suited for accelerating “advanced computer vision applications” including video analytics, smart camera, machine vision etc. We already have developed some of our computer vision solutions on this KV260 kit and Kria K26 SoM, we will be releasing those high performing solutions very soon!
We are thankful to Xilinx Team for their support, opportunity and bringing us as “Alliance Member” and now “Design Service Partner” for Kria SoMs”.

More details:

Visit Xilinx Page for Kria SoM Partners: https://www.xilinx.com/products/som/kria.html#ai2

Here are the details of Kria SoM [Link] and KV260 [Link]