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Snacks Lens

Introducing next-generation logistics management solutions using multi-sensor convergence and AI technology.
It is an innovative system that provides real-time 3D environmental awareness and optimized work paths.

Multi-Sensor Convergence Technology

LiDAR sensor

Provides precise 3D spatial mapping and distance measurement.

RGB-D cameras 

Object recognition is possible with image capture with depth information. 

A temperature sensor 

Ensure a safe working environment with ambient environment temperature measurements. 

3D depth sensor 

Enhance obstacle avoidance with precise spatial awareness. 

Scan and analyze real-time 3D environments

Data Analysis
Processes sensor data in real time.

Scan your environment
Digitize all objects and spaces in the warehouse in 3D.

Multi-sensor data collection ​
Multiple types of sensors collect environmental information at the same time.

HMD equipment and sensors mounted on smart glasses continuously scan the warehouse environment.
The collected data is processed immediately to provide real-time information to the operator.  

Multi-Sensor Convergence Technology

Apply AI/ML algorithms 

It uses an intelligent path calculation system based on machine learning. 

Path crash detection

Analyze the paths of multiple workers to predict potential collisions.

Dynamic Path Reset 

Continuously adjust the optimal path according to real-time situations. 

Maximize efficiency

Enables task completion with shortest time and minimum movement.

Real-time environmental change tracking

Physical Obstacle Awareness 

Immediately detect fixed and mobile obstacles and reflect them in the path.

Tracking a moving vehicle 

Predict the movement of logistics vehicles such as forklifts. 

Risk Factors Notification 

Visually alert the operator to potential hazards. 

Sensor fusion technology detects and responds immediately to various environmental changes.

AR Display Interface 

The AR glass allows the operator to intuitively check all the information they need. 

Tracking progress 

  Shows the task completion rate and the remaining tasks in real time.

Route navigation

Provides intuitive guidance with an AR path projected on the floor.

Show job information

Displays detailed information related to the current operation in your field of view.  

A safety warning 

Prevent accidents by visually emphasizing risk factors.

Cloud-based data analytics

Data Collection and Storage

Store all job data in the cloud. 

Optimization Insights 

Derive data-driven improvements.

Performance Analysis

Measure and evaluate individual and team performance.

Real-time work data is stored in the cloud for comprehensive analysis.
Continuous improvement is achieved by analyzing individual performance reports and work patterns.

It is an innovative solution that can be applied to various logistics environments.
It is a future-oriented technology that is highly effective against investment.

Expected Effects and Applications  

Improve efficiency

◦30% reduction in work time
◦Reduced travel distance by 40%
◦75% reduction in operational errors  

Increased safety 

◦ 60% reduction in accident rates
◦ Risk Factors Pre-Detections
◦ Reduce worker fatigue

Field of application

◦ A large distribution center 
◦ A manufacturing factory warehouse
◦ Distribution center
◦ Port logistics facilities