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Precision Optical Image
Three-color tower light source RGB three-color LED and multi-angle tower combination design can accurately reflect the slope level information of the object surface.
Telecentric lens: There is no parallax in shooting images, effectively avoiding reflection interference, minimizing high components, and solving the problem of depth of field.
Technical Parameters | ||
Optical system | Optical camera | 5 million high-speed intelligent digital industrial camera (optional) |
Resolution (FOV) | Standard 15μm/Pixel (corresponding FOV: 38mm*30mm) 10/15/20μm/Pixel (optional) | |
Optical lens | 5M pixel level telecentric lens, depth of field: 8mm-10mm | |
Light source system | High brightness RGB coaxial ring multi-angle LED light source | |
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Hardware Configuration | Operating system | Windows 10 Professional |
Computer Configuration | i3CPU, 8G GPU graphics card, 16G memory, 120G solid state drive, 1TB mechanical hard drive | |
Machine power | AC 220 volts ±10%, frequency 50/60Hz, rated power 1.2KW | |
PCB flow direction | Can be set to left → right right → left by button | |
PCB splint method | Bilateral clamps that open or close automatically | |
Z-axis fixing method | 1 track is fixed, 2 tracks can be adjusted automatically | |
Z-axis track adjustment method | Automatically adjust width | |
Track height | 900± 25mm | |
Barometric pressure | 0.4~0.8Map | |
Mechanical Dimensions | 900mm×950mm×1600mm (L × W × H) height does not include alarm lights | |
Mechanical weight | 500kg | |
Optional configuration | Off-line programming software, external barcode gun MES traceability system interface is open, maintenance station host | |
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Detect PCB specifications | Size | 50× 50mm ~500× 325mm (larger size can be customized according to customer requirements) |
Thickness | 0.3mm ~6mm | |
Board weight | ≤3KG | |
Clear height | Upper net height ≤ 30mm, lower net height ≤ 20mm (special requirements can be customized) | |
Minimum test element | 0201 components, 0.3 mm pitch and above IC (optional can reach 01005 components) | |
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Test items | Solder paste printing | Presence, deflection, less tin, more tin, open circuit, pollution, tin connection, etc. |
Part Defect | Missing parts, shifting, skewing, tombstones, standing sideways, overturned parts, reversed polarity, wrong parts, damaged parts, multiple parts, etc. | |
Solder joint defects | Less tin, more tin, even tin, virtual soldering, multiple pieces, etc. | |
Wave Soldering Inspection | Insert pin, no tin, less tin, more tin, virtual soldering, tin bead, tin hole, open circuit, multiple pieces, etc. | |
Red plastic board detection | Missing parts, shifting, skewing, tombstones, standing sideways, overturned parts, reversed polarity, wrong parts, damage, overflowing glue, multiple parts, etc. |
Collinearity: determine the LED light strip on the back panel needs to detect the relative offset between two LEDs to ensure that the entire LED light strip is collinear, which perfectly solves the industry problem of S-type non-collinear LED distribution testing, and truly realizes the collinearity analysis of non-adjacent LEDs.
Resistor Value Identification: The algorithm uses the latest machine recognition technology to calculate the precise limit value and electrical characteristics of the resistor by recognizing the characters printed on the resistor. This algorithm can be used to detect the wrong part of the resistor and realize the function of automatically matching "substitute materials".
Scratch detection: The algorithm will search for dark stripes of specified length in the target area, and calculate the dark The average brightness value of the striated area. The algorithm can be used to detect scratches, cracks, etc. on flat surfaces.
Intelligent judgment: The algorithm collects various qualified and unfavorable image samples, establishes an intelligent judgment model through training, and calculates the similarity of the images to be tested. The algorithm simulates the human thinking mode, and can easily deal with some problems that are difficult to detect with traditional algorithms. For example: wave solder joint detection, reset pot ball detection, polarity detection of circular components, etc.
Widely used in electronics manufacturing, consumer electronics, automobile electronics, communications equipment, aerospace, medical equipment, LED lamps, computers and peripherals, smart home, smart logistics, miniature and high power ratio electronic devices.