SEOUL,
South Korea, Aug. 5, 2024
/PRNewswire/ -- STRADVISION, a leader in computer vision
technology, has announced the development of a new data pipeline
automation system designed to accelerate digital transformation.
STRADVISION, known for its AI-based image recognition software,
SVNet, aims to enhance its offerings by streamlining its data
processes.
A data pipeline involves the preprocessing of raw data collected
from various sources, converting it into an analyzable format, and
storing it in a data warehouse. Traditionally, this process
includes Extracting, Transforming, and Loading (ETL) data. However,
due to the complexity of SVNet's requirements for precise data,
STRADVISION's ETL process is divided into several stages, making
the entire workflow intricate and time-consuming.
To address these challenges, STRADVISION developed an automation
system comprising three primary components: the Data Preprocessing
Pipeline, the Data Quality Pipeline, and the Data Efficiency
Pipeline. This system operates on parallel processing cluster
servers, efficiently securing high-quality data to optimize SVNet's
performance. The data is centralized in STRADVISION's proprietary
data center, a custom-built data warehouse that ensures consistent
data access for all company members via a unified interface.
The implementation of the data pipeline automation system has
greatly minimized errors, boosted productivity, and significantly
reduced costs. As a result, customers now enjoy faster, more
accurate, and highly reliable SVNet services.
- Data Pre-processing Pipeline: This stage converts raw
vehicle data into a format suitable for training. STRADVISION has
addressed common issues such as data synchronization and skew,
which arise from sensor data latency and skew. The company
developed advanced data correction technology, significantly
improving data quality and reducing manual labor.
- Data Quality Pipeline: In the past, increasing data
quantity was the primary method for improving AI learning outcomes.
However, STRADVISION focuses on data quality, which has proven to
enhance image recognition rates. The data quality pipeline employs
error identification and correction to maximize AI model
performance, minimizing noise and improving recognition
accuracy.
- Data Efficiency Pipeline: This pipeline reduces the
costs associated with data generation for SVNet training.
Traditionally, manual data generation work varied in quality and
cost. STRADVISION developed an AI model to automate and optimize
this process, ensuring consistent quality and reduced labor costs.
The AI model continuously retrains and updates in real-time,
supporting and streamlining the work of data generation
employees.
Jack Sim, CTO of STRADVISION,
commented, "We are accelerating digital transformation to deliver
fast and stable services to our customers. Our new data pipeline
automation system is a key component of this initiative. By
reducing operational costs and optimizing resource utilization
through continuous process automation, we aim to provide even
better services."
As STRADVISION prepares for an initial public offering (IPO) on
the KOSDAQ market later this year, the company has been
intensifying its digital transformation efforts since April. It has
already passed the technology evaluation for the KOSDAQ technology
special listing with high marks, particularly in technology and
marketability. For more information on STRADVISION and its
cutting-edge technologies, please visit STRADVISION.
About STRADVISION
Founded in 2014, STRADVISION is an automotive industry pioneer
in artificial intelligence-based vision perception technology for
ADAS. The company is accelerating the advent of fully autonomous
vehicles by making ADAS features available at a fraction of the
market cost compared with competitors. STRADVISION's SVNet is being
deployed on various vehicle models in partnership with OEMs; can
power ADAS and autonomous vehicles worldwide; and is serviced by
over 300 employees in Seoul, San
Jose, Detroit, Tokyo, Shanghai, and Dusseldorf. STRADVISION has been honored with
Frost & Sullivan's 2022 Global Technology Innovation Leadership
Award, the Gold Award at the 2022 and 2021 AutoSens Awards for
Best-in-Class Software for Perception Systems, and the 2020
Autonomous Vehicle Technology ACES Award in Autonomy (software
category). In addition, STRADVISION and its software have achieved
TISAX's AL3 standard for information security management, as well
as being certified to the ISO 9001:2015 for Quality Management
Systems and ISO 26262 for Automotive Functional Safety.
View original content to download
multimedia:https://www.prnewswire.com/news-releases/stradvision-accelerates-digital-transformation-with-new-data-pipeline-automation-system-302214303.html
SOURCE StradVision