LITHIUM BATTERY

INDUSTRY
PAIN POINTS

• Production capacity at the limit

  01

  On ultra-fast production flow of battery cells, the extremely short workpiece dwell time has pushed inspection cycle times to the millisecond level.

  Why us

  Millisecond trigger and feedback just within the momentary pause
  Based on Mega Phase hardware computational imaging technology (HWCI) and pixel-level parallel computing

  
  

  Computing by built-in FPGA architecture
  Our camera independently computes and outputs precision data, taking the burden off industrial PCs and slashing IT maintenance costs.

• Poor imaging on complex materials

  02

  Precise imaging is often hindered by the coexistence of diverse textures, such as highly reflective aluminum housings, translucent blue films, and PET insulation layers.

  Why us

  Photometric stereo mode
  Reliably detect defects down to 20 μm. The surface normal is calculated with changing illumination from multi-spectral segmented lighting. 

  
  

  Micron-level precision 
  Up to 20MP high-resolution CMOS accurately captures even the slightest deformations in explosion-proof valves, weld pores, and micron step height of sealing nails on lithium battery cases.

• Burden of rapid expansion

  03

  In the fast-scaling Li-ion industry, replicating lines across multiple bases is often hindered by lengthy peripheral debugging, which severely delays the Start of Production (SOP).

  Why us

  All-in-one design
  As the camera unifies lighting control and computes by itself based on HWCI, external cabling and other hardware can be left out to make the best use of every inch of floor space.

   
  Strong scalability
  Standardized deployment logic enables one-click parameter cloning from the reference line to new sites, significantly shortening the SOP ramp-up phase.