Characteristics and applications of semiconductor chip OCR intelligent recognition system

The types of electronic components in the semiconductor industry are increasing, such as resistors, capacitors, inductors, potentiometers, electronic tubes, connectors, semiconductor discrete devices, electro-acoustic devices, electronic display devices, optoelectronic devices, sensors, relays, amplifiers, etc., and the demand for character recognition on components is increasing. Semiconductor chip OCR intelligent identification system is mainly used for product information recording and tracing, compatible identification detection, pin skew detection, component surface appearance defect detection.

Characteristics of semiconductor chip OCR intelligent recognition system

● Using optical character recognition (OCR) technology with deep learning recognition tools, it can identify code with severe distortion, skew, offset, blurring, and poor etching quality. With a deep learning pre-trained font library, most text can be recognized without additional programming or font training, significantly reducing development time.

● Easy to use interface avoids complex programming. Simply define the region of interest, set the character size, and mark the characters in the image set. In just a few steps, this reliable tool can be retrained to read application-specific characters that traditional OCR tools cannot decode

● Compatible with various specifications of electronic components products

Semiconductor chip OCR intelligent recognition system performance

● Recognize challenging characters;

● Positive and negative detection marks;

● Detect crooked pins.

Working effect

● Fast image acquisition: up to 25ms;

● Failure rate: 0%;

● Misjudgment rate: 0.01%.

Application field

Semiconductor Industry, Electronics Industry - Electronic Component character recognition