D series DIP furnace front plugin AOI, the world's first AOI without setting parameters, fast programming takes 10 minutes to get started! Using convolutional neural networks, deep learning models, computer vision, graphic image processing and other algorithms to solve the industry pain points of complex AOI programming and high false positives. Detect missing, multiple, offset, reverse, incorrect, floating, OCV (text recognition) components on electronic circuit boards, and support testing for color ring resistance errors. This AOI detection plug-in can be applied before or after the wave soldering furnace. This AOI is a floor mounted embedded production line installation that does not require any modifications to the assembly line, making it convenient.
Equipment features:
Speed programming AI intelligent algorithm, one click programming, no need to set parameters, no need for operators, 10 minutes to get started.
Using deep learning models, computer vision, graphics and image processing technologies to achieve high accuracy
Adopting various reminders such as sound prompts, pop-up comparison images, and main image display with a red box indicating defects, in line with ergonomics
Display of defective products, upon hearing, sound prompts "defective". Upon seeing, display of defective components with a red box. Focus, display of defective components as a single item
Multiple detection modes, supporting splicing and mixed board (without limiting the order of boards) mixed material detection
● Traceability, real-time output, support traceability by barcode, QR code, model, time and other dimensions, and support MES docking
SPC provides real-time and practical statistical analysis data to understand the current quality and efficiency status, and provides diverse statistical analysis charts (ID error frequency, name error frequency, pass through rate, etc.)
Special testing items:
Intelligent recognition of top characters of aluminum capacitors
Intelligent recognition of black and gray capacitor characters
Intelligent recognition of black inductor characters or directions
Intelligent recognition of battery holder direction
Small iron plate recognition
Intelligent recognition of polypropylene capacitor characters
Wire inspection
Metal high-frequency head thread/smooth head inspection
Transformer characters
■ Buzzer direction
Crystal oscillator characters
Twisted capacitor polarity
Check the direction of the transistor
Direction of color ring resistance
Specification parameters:
Light source: independently developed LED bright tunnel light
Camera: Standard 20 million CCD full-color industrial array camera (optional 12 million/25 million/29 million)
Detectable PCBA size: width 400mm, length unlimited; Optional width 750mm, length unlimited
CPU: Intel i5 9600KF; GPU: NVIDIA independent graphics card graphics memory: 8G/6G
Memory/hard disk storage: 16G DDR4/2T
Operating System: Ubuntu 19.2 LTS 64bit
Display: 22 inch/23.8-inch FHD large angle display
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