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
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60% reduction in accident rates
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Risk Factors Pre-Detections
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Reduce worker fatigue
Field of application
◦ A large distribution center
◦ A manufacturing factory warehouse
◦ Distribution center
◦ Port logistics facilities