AI on the Tip of Your Tongue, Artificial Intelligence in Food
Release Date:2020-06-06 Source: Number of views:478
In 2020, the central government emphasizes accelerating the progress of new infrastructure construction, and artificial intelligence has once again ushered in a "moment of glory".
AI (Artificial Intelligence), which is a new technical science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. At present, AI has gradually covered all walks of life, and the food and health field is the first to bear the brunt.
"Food for the people, food for safety", diet and health occupy an important position in people's lives, the rapid development of society and the pace of life continues to accelerate, health is once again emphasized by everyone.
AI&Food Recognition
AI machine vision replaces the visual ability of human eye recognition to achieve guidance, positioning, measurement, detection, identification, etc. Based on the deep learning of convolutional neural network, it can recognize various images, and it can create different deep convolutional neural networks to accurately identify the same and different food products according to the characteristics of food images.
Taiho Optronics' machine vision system uses a camera to take pictures of materials, and through algorithmic processing at the back-end, compares the data obtained with any existing data extracted from the system's database to identify different types, colors, shapes, etc. of the same material.
Take an apple (example) fruit (sub)
(machine imaging in slice of red apple)
(Striped red apples in machine imaging)
AI & Food Safety
In the process of receiving fresh food raw materials, the sorting procedure can be said to be the most time-consuming part. In the traditional food industry, artificial screening is often used to screen out diseases, insects, and foreign materials, which is inefficient and non-standardized; it is even more difficult to differentiate with the naked eye, such as mildew and lesions in rice and miscellaneous grains, and mildew and heart disease in fruits, and other characteristics, which may even result in the secondary contamination of food.
Taiho Optoelectronics developed AI color sorter based on computer technology detection technology, through image recognition technology to screen inferior products and foreign materials.
(rotting apples)
(Poking apples)
In the sorting process of apples, Taiho Optoelectronics AI color sorter collects apple-related data and lets the algorithm look for essential, objectively existing and verifiable differences in the data, classifies them into different categories, and utilizes the powerful characterization ability of deep learning to detect, identify, and judge. Through computer vision technology, industrial-grade high-speed computing platform to achieve the apple in the moldy heart disease, rotting fruit, poke fruit, wrinkled skin fruit, yellow and other sorting out and elimination.
At present, Taiho photoelectric AI color sorter can realize the sorting of more than three hundred kinds of foodstuffs, such as rice, grains, fruits and nuts.
计算机视觉技术与深度学习技术用于物料分选场景,具有较高的识别精度,精准识别恶性杂质、病征,是名副其实的食品安全卫士。
AI在食品健康领域,其独有的智能化机器视觉优势,通过采集目标图像进行图像识别处理,实现对产品分类、产品品质检测等功能,勇敢担当食品安全卫士。
食品安全是健康生活的重要组成部分,是社会更加稳定发展的重要载体。在可预见的未来,人工智能技术在食品行业中,将全流程应用于食品原材料到消费者手中的食物。进一步促进食品行业的创造力,为企业新增更多可能。泰禾光电将持续深耕AI色选领域,为食品安全提供强有力的保障。
In 2020, the central government emphasizes accelerating the progress of new infrastructure construction, and artificial intelligence has once again ushered in a "moment of glory".
AI (Artificial Intelligence), which is a new technical science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. At present, AI has gradually covered all walks of life, and the food and health field is the first to bear the brunt.
"Food for the people, food for safety", diet and health occupy an important position in people's lives, the rapid development of society and the pace of life continues to accelerate, health is once again emphasized by everyone.
AI&Food Recognition
AI machine vision replaces the visual ability of human eye recognition to achieve guidance, positioning, measurement, detection, identification, etc. Based on the deep learning of convolutional neural network, it can recognize various images, and it can create different deep convolutional neural networks to accurately identify the same and different food products according to the characteristics of food images.
Taiho Optronics' machine vision system uses a camera to take pictures of materials, and through algorithmic processing at the back-end, compares the data obtained with any existing data extracted from the system's database to identify different types, colors, shapes, etc. of the same material.
Take an apple (example) fruit (sub)
(machine imaging in slice of red apple)
(Striped red apples in machine imaging)
AI & Food Safety
In the process of receiving fresh food raw materials, the sorting procedure can be said to be the most time-consuming part. In the traditional food industry, artificial screening is often used to screen out diseases, insects, and foreign materials, which is inefficient and non-standardized; it is even more difficult to differentiate with the naked eye, such as mildew and lesions in rice and miscellaneous grains, and mildew and heart disease in fruits, and other characteristics, which may even result in the secondary contamination of food.
Taiho Optoelectronics developed AI color sorter based on computer technology detection technology, through image recognition technology to screen inferior products and foreign materials.
(rotting apples)
(Poking apples)
In the sorting process of apples, Taiho Optoelectronics AI color sorter collects apple-related data and lets the algorithm look for essential, objectively existing and verifiable differences in the data, classifies them into different categories, and utilizes the powerful characterization ability of deep learning to detect, identify, and judge. Through computer vision technology, industrial-grade high-speed computing platform to achieve the apple in the moldy heart disease, rotting fruit, poke fruit, wrinkled skin fruit, yellow and other sorting out and elimination.
At present, Taiho photoelectric AI color sorter can realize the sorting of more than three hundred kinds of foodstuffs, such as rice, grains, fruits and nuts.
计算机视觉技术与深度学习技术用于物料分选场景,具有较高的识别精度,精准识别恶性杂质、病征,是名副其实的食品安全卫士。
AI在食品健康领域,其独有的智能化机器视觉优势,通过采集目标图像进行图像识别处理,实现对产品分类、产品品质检测等功能,勇敢担当食品安全卫士。
食品安全是健康生活的重要组成部分,是社会更加稳定发展的重要载体。在可预见的未来,人工智能技术在食品行业中,将全流程应用于食品原材料到消费者手中的食物。进一步促进食品行业的创造力,为企业新增更多可能。泰禾光电将持续深耕AI色选领域,为食品安全提供强有力的保障。