Detection Solution

Digital Analyst Leading the Future Through Challenges

Detection Solution

Provides a solution that can pre-detect product and safety issues and warn against them

WE LEAD THE FUTURE THROUGH CHALLENGES !

Monitoring Secondary batteries

Monitoring Equipment configuration

Logistics monitoring

Rotating machine monitoring

Process monitoring

Monitoring Intelligent cameras

Detection of abnormal equipment behavior

Detection of abnormal behavior in repeated movements
Detection of abnormal behavior during product delivery
Detection of a missing product

Detection of a faulty product

Product appearance test
Detection of a missing part
Detection of inclusion of a different product

Safety & Environment

Anomaly detection by area
Movement detection
Equipment error detection

Monitoring System phases

Phase 1 - Equipment observation phase

Great for equipment running 24/7
Records equipment 24/7
Uses a high-capacity NVR
Basic equipment from L and G brands used

Phase 2 - Manual alert phase

Connection to the equipment’s PLC signals
Records videos before and after the PLC alert is sounded
Easy to analyze the timing of the abnormal behavior

Phase 3 - Active alert phase

Connection to AI-powered intelligent PCs
Anomaly detection applied
Enhanced equipment failure detection

System in deployment

※ Note : Images may be blurred for security reasons.

Screenshots of the monitoring system

Deployment example 1 – Zooming in on process details, small sections, or dangerous processes

Deployment example 2 – Zooming in on process details, small sections, or dangerous processes

Deployment example 3 – Better understanding of process flows

Deployment example 3 – Processes taking place in a dark place or dark rooms

System screen examples – From YouTube

PLC system screen examples – A pop-up window appears after arbitrarily applying three PLC errors while viewing a split screen

Intelligent system Configuration

Equipment problems
Failure, breakdown,
damage

Quality issues
Missing parts, inclusion of a different product, distortion, foreign matter, damage, printing errors

Safey & Fire
Entry of workers into
a safe area & Fire

Performance aggregation
Automated aggregation of
product performance

Intelligent system use cases

Primary uses

※ Monitoring of production progress

VODA’s intelligent systems help you monitor the manufacturing process and the production progress of a product in real time, so you can achieve process optimization.

Our systems monitor and automatically adjust different parts of a manufacturing process, including product alignment, the sequence, and the assembly path to ensure the highest product quality.

※ Monitoring of the state of equipment, product location, and damages

Our systems monitor the production equipment in real time to prevent accidents and set up an operation system capable of responding to accidents immediately.

Monitors the state of equipment installed and jamming, decoupling, and coupling of machines to fundamentally prevent accidents.
Supports location recognition and tracking of product transfer machines in the manufacturing process, and immediately responds to equipment collisions.

Other uses

※ Quality inspections

VODA’s intelligent systems help you analyze videos when checking the product appearance and colors, so you can better manage product quality.

Product specification inspection for the appearance, colors and other flaws in the end product.
Product inspection in terms of the welding quality, dents, the state of fastened areas, and other conditions.

※ Hazardous materials management

Helps you monitor hazardous materials, dangerous gas, sewer and wastewater leakage in real time and respond quickly when identifying signs of relevant problems.

Prevents occupational and environmental accidents by monitoring leakage of hazardous substances.

※ Intrusion and fire detection

We create a system that monitors important areas in the premises and detects abnormal behavior including the presence of an intruder and fire, so you can respond immediately.

24/7 monitoring of industrial premises, including restricted areas, electrical rooms, and hazardous material storage.

Intelligent system Testing examples

Deep learning system deployment

It utilizes deep learning to increase customer confidence
in claim prevention and product quality by improving inspection recognition
in existing inspection systems and various environments where screening is weak.

Collection of
normal and
faulty images

Classification
of recognition
errors

Training
and tuning
AI models

Strengthening the
flaw recognition
capacity

Improved recognition rate at a lower cost than visual testing that reduces the quality control costs and prevents customer complaints

Bumpy surface

Round bottles