Temperature & Humidity-Based
Process Optimization
Temperature & Humidity-Based
Process Optimization
(Coming Soon)
AI-Powered Optimal Molding Control
Sustainable Smart Manufacturing
![](data:image/svg+xml,<svg display="block" id="2621442751" role="presentation" viewBox="0 0 62 57" xmlns="http://www.w3.org/2000/svg"><path d="M 49.17 0 L 28.56 35.71 L 11.92 6.89 L 21.44 6.89 L 28.56 19.23 L 39.59 0 L 38.85 0 L 31.71 0 L 28.56 5.46 L 25.41 0 L 0 0 L 28.56 49.48 L 57.18 0 Z" fill="rgb(255, 255, 255)" height="49.48px" id="yKT59ADqo" transform="translate(0 8.49)" width="57.18px"/><path d="M 12.92 0 L 4.9 0 L 0 8.49 L 8.01 8.49 Z" fill="rgb(214, 41, 39)" height="8.49px" id="c03bvQAFO" transform="translate(49.17 0)" width="12.920000000000002px"/></svg>)
AI Molding Controller
Temperature & Humidity-Based
Process Optimization
(Coming Soon)
AI-Powered Optimal Molding Control
Sustainable Smart Manufacturing
AI Molding Controller
At A Glance
At A Glance
2x
more
Max
Expand Recycled Material Use
(PCR)
50
%
over
Energy Savings
3 units
Machines Managed Per Operator
3 units
Machines Managed Per Operator
Data-Driven
AI Process Control
Data-Driven
AI Process Control
Data-Driven
AI Process Control
AI Based
Optimal Conditions
Set & Maintained
Optimal Conditions
Set & Maintained
AI Based
Optimal Conditions
Set & Maintained
AI Based
Optimal
Material Ratio
Auto-Calculated
Optimal
Material Ratio
Auto-Calculated
AI Based
Optimal
Material Ratio
Auto-Calculated
AI Based
Real-Time Defect
Detection
& Optimization
Real-Time Defect
Detection
& Optimization
AI Based
Real-Time Defect
Detection
& Optimization
RE100 & ESG
Enabled
* May vary depending on the installation environment.
01
01
Key Challenges
Key Challenges
Weather, Environment, Materials
& Human Skill
Weather, Environment, Materials
& Human Skill
Constantly shifting weather and humidity, along with the resulting changes in material conditions, are difficult even for skilled operators to manage. Even minor deviations can cause defects.
Constantly shifting weather and humidity, along with the resulting changes in material conditions, are difficult even for skilled operators to manage. Even minor deviations can cause defects.
Constantly shifting weather and humidity, along with the resulting changes in material conditions, are difficult even for skilled operators to manage. Even minor deviations can cause defects.
02
02
VisionControl Overview
VisionControl Overview
From Human Control
→ Data-Driven AI Control
From Human Control
→ Data-Driven AI Control
VisionControl converts every process variable into data, enabling AI to analyze and control equipment. This allows real-time process optimization adapted to changing environmental conditions.
VisionControl converts every process variable into data, enabling AI to analyze and control equipment. This allows real-time process optimization adapted to changing environmental conditions.
Conventional
Environmental Changes
Temperature and humidity changes caused by the weather
↓
Change Detection & Response
Operator-Dependent
Process Control
↓
Manual Mixing
Virgin Material + PIR Only
Quality depends on
operator expertise
↓
Injection via Existing Nozzle
Defects from including
gas & moisture
↓
Quality Inspection
High defect rate
↓
Scrap
(Regrind & Dispose)
Scrap Waste: Sprue, Runner, Rejects
↓
No Data Accumulation
Manual Re-Setup by
Operator Each Cycle
2 operators for 3 machines
Limited PCR Use
High energy overhead
* Results may vary depending on the implementation environment and level of automation.
VisionControl
Environmental Changes
Temperature and humidity changes caused by the weather
↓
Change Detection & Response
Data-Driven Process Control
(VisionNozzle + IoT + AI)
↓
AI Auto-Mixing
Virgin Material + PIR + PCR
AI calculates optimal ratio from
temp & humidity
↓
Injection via VisionNozzle
Gas & moisture are removed
at the point of injection
↓
Real-time QC
Defects down by 50%
↓
Automatic Scrap Grinding
& PIR re-feeding w/ Auto-Blender
On-Site Immediate Reuse
↓
Accumulate & Optimize
Process Data Learning
& Continuous Update
1 operator for 3 machines
Up to 2× more PCR usage
50% less energy
* Results may vary depending on the implementation environment and level of automation.
03
03
How It Works - 01
How It Works - 01
VisionNozzle + IoT
→ Real-time On-site Data Collection
VisionNozzle + IoT
→ Real-time On-site Data Collection
Real-time field information, such as temperature, humidity, and gas data, is collected through the VisionNozzle and IoT sensors attached to the manufacturing equipment and transmitted to the gateway.
Real-time field information, such as temperature, humidity, and gas data, is collected through the VisionNozzle and IoT sensors attached to the manufacturing equipment and transmitted to the gateway.
Scroll to explore
Scroll to explore
04
04
How It Works - 02
How It Works - 02
Always Optimal.
AI-Controlled Molding Conditions.
Always Optimal.
AI-Controlled Molding Conditions.
By utilizing an artificial intelligence model (Transformer) to automatically adjust the nozzle band heater and humidity control, optimal molding conditions are maintained.
By utilizing an artificial intelligence model (Transformer) to automatically adjust the nozzle band heater and humidity control, optimal molding conditions are maintained.
This minimizes defect rates caused by temperature and humidity variations, securing process stability.
This minimizes defect rates caused by temperature and humidity variations, securing process stability.
Scroll to explore
Scroll to explore
05
05
How It Works - 03
How It Works - 03
Intelligent AI Blending.
Auto-Calculated Optimal Ratios.
Intelligent AI Blending.
Auto-Calculated Optimal Ratios.
Based on supervised and reinforcement learning, the system calculates the optimal blend ratio of virgin resin and recycled material in real time.
Based on supervised and reinforcement learning, the system calculates the optimal blend ratio of virgin resin and recycled material in real time.
Afterward, the smart dosing system mixes the recycled raw materials with milligram-level precision and error correction.
Afterward, the smart dosing system mixes the recycled raw materials with milligram-level precision and error correction.
06
06
How It Works - 04
How It Works - 04
Real-Time Defect
Analysis & Optimization,
Enabled by
Smart API Control.
Real-Time Defect
Analysis & Optimization,
Enabled by
Smart API Control.
The API service linked with the injection molding board performs initialization control and issues automatic control commands based on the analyzed data.
The API service linked with the injection molding board performs initialization control and issues automatic control commands based on the analyzed data.
By analyzing data collected through IoT sensors attached to manufacturing equipment, we diagnose the causes of defects in real time and optimize temperature and humidity control using AI analysis results to maximize production efficiency.
By analyzing data collected through IoT sensors attached to manufacturing equipment, we diagnose the causes of defects in real time and optimize temperature and humidity control using AI analysis results to maximize production efficiency.
Scroll to explore
Scroll to explore
07
07
Expected Benefits
Expected Benefits
A Sensible Path to
Smart, Sustainable
Manufacturing.
A Sensible Path to
Smart, Sustainable
Manufacturing.
Scroll to explore
Scroll to explore
Scale Up PCR Usage.
For PCR formulation, the AI makes decisions and executes them based on on-site data. Quality variations caused by differing levels of human skill, and instead determine and control the blend ratio according to the current conditions, enabling the continuous use of a larger amount of PCR than before.
Scale Up PCR Usage.
For PCR formulation, the AI makes decisions and executes them based on on-site data. Quality variations caused by differing levels of human skill, and instead determine and control the blend ratio according to the current conditions, enabling the continuous use of a larger amount of PCR than before.
Scale Up PCR Usage.
For PCR formulation, the AI makes decisions and executes them based on on-site data. Quality variations caused by differing levels of human skill, and instead determine and control the blend ratio according to the current conditions, enabling the continuous use of a larger amount of PCR than before.
Lower Energy
& Operating Costs.
Optimize the production process in real time based on on-site material distribution and scheduling. By improving the operating efficiency of the nozzle, injection machine, and the entire system, it uses only the necessary energy and minimizes carbon emissions.
Lower Energy
& Operating Costs.
Optimize the production process in real time based on on-site material distribution and scheduling. By improving the operating efficiency of the nozzle, injection machine, and the entire system, it uses only the necessary energy and minimizes carbon emissions.
Lower Energy
& Operating Costs.
Optimize the production process in real time based on on-site material distribution and scheduling. By improving the operating efficiency of the nozzle, injection machine, and the entire system, it uses only the necessary energy and minimizes carbon emissions.
Smarter Maintenance
with Data.
By applying predictive maintenance and automatic optimization algorithms based on accumulated data, we extend the lifespan of molds and equipment while enhancing overall process stability.
Smarter Maintenance
with Data.
By applying predictive maintenance and automatic optimization algorithms based on accumulated data, we extend the lifespan of molds and equipment while enhancing overall process stability.
Smarter Maintenance
with Data.
By applying predictive maintenance and automatic optimization algorithms based on accumulated data, we extend the lifespan of molds and equipment while enhancing overall process stability.
One Operator. Up to Three Injection Machines.
Because the dryer, humidity controller, and mixer are controlled automatically, a single operator can manage 3 injection molding machines (previously: 2 to 3 operators per machine).
One Operator. Up to Three Injection Machines.
Because the dryer, humidity controller, and mixer are controlled automatically, a single operator can manage 3 injection molding machines (previously: 2 to 3 operators per machine).
One Operator. Up to Three Injection Machines.
Because the dryer, humidity controller, and mixer are controlled automatically, a single operator can manage 3 injection molding machines (previously: 2 to 3 operators per machine).
The Longer It Runs,
the Smarter It Gets.
As more data accumulates, AI-driven decisions become more precise. In particular, by continuously improving raw material efficiency, we can maximize production profits using fewer resources than before.
The Longer It Runs,
the Smarter It Gets.
As more data accumulates, AI-driven decisions become more precise. In particular, by continuously improving raw material efficiency, we can maximize production profits using fewer resources than before.
The Longer It Runs,
the Smarter It Gets.
As more data accumulates, AI-driven decisions become more precise. In particular, by continuously improving raw material efficiency, we can maximize production profits using fewer resources than before.
Driving RE100 & ESG
Performance.
Expand recycled material (PCR) usage and reduce energy and carbon emissions to consistently build RE100 and ESG performance. It also lowers compliance costs for environmental regulations and helps meet eco-friendly customer requirements.
Driving RE100 & ESG
Performance.
Expand recycled material (PCR) usage and reduce energy and carbon emissions to consistently build RE100 and ESG performance. It also lowers compliance costs for environmental regulations and helps meet eco-friendly customer requirements.
Driving RE100 & ESG
Performance.
Expand recycled material (PCR) usage and reduce energy and carbon emissions to consistently build RE100 and ESG performance. It also lowers compliance costs for environmental regulations and helps meet eco-friendly customer requirements.
Please note that the results may vary depending on your implementation environment and the level of automation.
Please note that the results may vary depending on your implementation environment and the level of automation.
Beyond Energy Savings.
Smart Manufacturing, Sustained.
Beyond Energy Savings.
Smart Manufacturing, Sustained.
Beyond Energy Savings.
Smart Manufacturing, Sustained.
VisionInnovation Co., Ltd.
CEO
Kang Hyunsik
visiontech2070@naver.com
TEL
+82-70-7525-5903
HQ
Room 303-8, Gangso Special Zone Campus 3, Korea Automotive Technology Institute (KATECH), 63 Buldang 36-gil, Seobuk-gu, Cheonan-si, Chungcheongnam-do, Republic of Korea
Factory & Lab
145-18, Sandong-ro, Eumbong-myeon, Asan-si, Chungcheongnam-do, Republic of Korea
(C) 2026 VisionInnovation. All Rights Reserved. Some Images on This Site Have Been Generated by AI.
CEO
Kang Hyunsik
visiontech2070@naver.com
TEL
+82-70-7525-5903
HQ
Room 303-8, Gangso Special Zone Campus 3, Korea Automotive Technology Institute (KATECH), 63 Buldang 36-gil, Seobuk-gu, Cheonan-si, Chungcheongnam-do, Republic of Korea
Factory & Lab
145-18, Sandong-ro, Eumbong-myeon, Asan-si, Chungcheongnam-do, Republic of Korea
(C) 2026 VisionInnovation. All Rights Reserved. Some Images on This Site Have Been Generated by AI.
VisionInnovation Co., Ltd.
CEO
Kang Hyunsik
visiontech2070@naver.com
TEL
+82-70-7525-5903
HQ
Room 303-8, Gangso Special Zone Campus 3, Korea Automotive Technology Institute (KATECH), 63 Buldang 36-gil, Seobuk-gu, Cheonan-si, Chungcheongnam-do, Republic of Korea
Factory & Lab
145-18, Sandong-ro, Eumbong-myeon, Asan-si, Chungcheongnam-do, Republic of Korea
(C) 2026 VisionInnovation. All Rights Reserved. Some Images on This Site Have Been Generated by AI.