3D Automatic SMT AOI Automated Optical Inspection Machine DCEN
DC-600 Online AOI 3D PCB component testing Machine
Product description
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.
Product Specification
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 |
| | |
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 |
| | |
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) |
| | |
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. |
Product details
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.
Applications:
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.
