Functional Features
Complete independent intellectual property rights, pure C ++ core algorithms, without using any third – party commercial graphics processing libraries.
Applied with display card GPU and CPU SSE operation acceleration, fast processing speed, processing 500W – pixel battery images, and all operations can be completed in only 200MS.
Loaded with 1/100 ultra – high – resolution processing cathode – anode detection algorithms and artificial intelligence multi – layer convolution neural network joint comprehensive operation, with high processing precision, and the cathode – anode position is close to the human eye standard.
Applied with self – developed patented fuzzy image edge enhancement algorithms, which can easily identify cathode – anode positions even for blurry images caused by the battery itself.
Powerful NG type identification and classification functions can perform precise identification and classification of battery positive – negative pole alignment and statistics such as maximum values, minimum values, averages, positive – negative differences, and negative – positive differences of common NG types.
Powerful self – learning functions, algorithms can perform self – learning based on measurement results to adapt to different models and types of battery detection, without the need for manual intervention.
Technical Parameters
| Power Supply | Three – phase five – wire system AC380V ± 5%; Frequency: 50Hz |
| Power | Approximately 5KW |
| Air Supply | Air pressure 0.5 – 0.7Mpa. (If compressed air cannot be provided, special instructions are required, and the equipment can be used without air.) |
| Equipment Productivity | Manual operation does not involve unit productivity. Four – corner test C/T ≤ 15S |
| Equipment Utilization Rate | ≥ 98% (caused by non – equipment reasons) |
| Alignment Defect Rate | 0 |
| False Pass Rate | ≤ 2% (except for critical values, ≤ ± 50μm) (AI deep – learning algorithm to ensure judgment accuracy) |
| Repeatability Measurement Precision | ≤ 50μm (measurement of standard samples) |
| X – ray Leakage | ≤ 1.0 μSV/hr (GB22448 – 2008) (The detection distance is 50 mm from the outer surface of the equipment table.) |
| X – ray Tube | Light tube, 90KV |
| Imaging System | Flat – panel detector |
| Equipment Size | Approximately L1890 * W1790 * H2290mm |
| Weight | Approximately 3T |