Notifications
Back

SNUAILAB Vision Inspection Machine

•(KR) 10-2648104 : The methodology for measuring a vehicle’s gap and flush inspection

SNUAILAB Vision Inspection Machine

•(KR) 10-2648104 : The methodology for measuring a vehicle’s gap and flush inspection

SAVIM revolutionizes the traditional methods, which rely on manual measurements or stopping vehicles on rails for close-range robotic scanning.

SAVIM not only supports full automation of the inspection process without stopping the vehicle, but also offers greater flexibility compared to robots. 

3D Image Denoising


It effectively removes various noise data
generated during 3D reconstruction.

3D Reconstruction


It restores clear 3D objects of vehicles by integrating existing CAD drawings and surrounding information for parts that are not reconstructed in 3D.

Auto-Inspection


It supports full automation of the inspection process,
minimizing human error and improving productivity.

Specification
  • Specifications (Inches) : 79(L) / 158(W) / 79(H)
  • Weight(Pounds) : 1,984(lb)
  • Cameras :
    - Parameter : Value
    - 3D Sensing Technology : Parallel Structured Light
    - Output data : 3D points, Normals, Depth Map, Confidence
    - Scanning Range : 365 – 558 mm
    - Scanning Area : 424 x 312 mm
Are you curious about
SNUAILAB's AI technology
applied across various industries?
Maximize your business values
by adopting industry-specific
AI solutions.
Are you curious about SNUAILAB's AI technology applied across various industries?
Maximize your business values by adopting industry-specific AI solutions.

   sales@snuailab.ai  sales
        snuai@snuailab.ai  general

Seoul  HQ
Seoul National University, 133 Building, Automation and Systems Research Institute, 208th Floor, 1 Gwanak-ro, Gwanak-gu, Seoul Special City

Gwanggyo  R&D / Business
1202th Floor, Building A, Gwanggyo Techno Valley, Advanced Institute of Convergence Technology, 145, Gwanggyo-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do

© 2024 SNUAILAB Co., LTD. All Rights Reserved. 
Privacy policy     Terms and conditions

   sales@snuailab.ai  sales      snuai@snuailab.ai  general

Seoul  HQ  
Seoul National University, 133 Building, Automation and Systems Research Institute, 208th Floor, 1 Gwanak-ro, Gwanak-gu, Seoul Special City


Gwanggyo  R&D / Business  
1202th Floor, Building A, Gwanggyo Techno Valley, Advanced Institute of Convergence Technology, 145, Gwanggyo-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do

© 2024 SNUAILAB Co., LTD. All Rights Reserved.   Privacy policy     Terms and conditions