TSV
Image Recognition Technologies - TSV
Image recognition technologies are a group of technologies that enable computers to analyze image and video data, automatically recognizing and judging people, objects, text, and situations depicted within them. With the advancement of deep learning, accuracy and application scope have dramatically expanded, and various technologies such as image classification, object detection, face recognition, image segmentation, and OCR are being utilized in industry. These technologies have become essential across a wide range of fields including security surveillance, autonomous driving, medical diagnosis, and quality control in manufacturing.
image recognition
AI
machine learning
deep learning
computer vision
CNN
code slug name description
01 image-classification Image Classification The most basic technology to determine what an entire image represents.
02 object-detection Object Detection Technology that detects multiple objects in an image and identifies their positions.
03 face-recognition Face Recognition Technology that identifies and verifies individuals from facial features.
04 image-segmentation Image Segmentation Technology that finely divides images at the pixel level and labels each region.
05 ocr Optical Character Recognition (OCR) Technology that converts text in images into digital data.
06 anomaly-detection Anomaly Detection Technology that detects features or movements different from normal.
07 action-recognition Action Recognition Technology that analyzes human movement patterns.
08 code-recognition Code Recognition Technology that reads barcodes and QR codes.