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    Hanbat IoT participates in AFRO 2023… “Selection of egg fine cracks with non-destructive and non-contact machine vision camera and AI image analysis technology”

    Egg quality inspection machine using rail and AI VISION │Provided by Hanbat IoT
    Egg quality inspection machine using rail and AI VISION │Provided by Hanbat IoT

    Hanbat IoT Co., Ltd. (CEO Jinhae Jeong) will hold the ‘2023 Agri & Food Tech Start-up Rising Expo’ held at COEX Hall A in Seoul for three days from Wednesday, July 26th to Friday, July 28th. 2023).

    Hanbat IoT is developing and supplying a system that determines egg quality using machine vision and AI image analysis technology. Since 2009, we have been developing technologies necessary for poultry farms, such as manufacturing egg sorters and developing integrated poultry farm history management software. Using a non-destructive and non-contact machine vision camera and image analysis artificial intelligence technology, a system that inspects the quality of 38 types of eggs, including cracks, blood spots, and foreign substances, with a single device, is being commercialized and distributed to farmers.

    This inspection system can determine the quality of more than 100,000 eggs per hour through real-time image processing and analysis, and classifies eggs according to 38 types of standards. It is known that the AI ​​discriminator using data from about 3 million eggs can select more than 30 types of abnormal eggs, including cracks and blood spots, as well as microscopic and latent cracks, deformities, discoloration, and foreign substances. The company explained that in the case of cracks, it has an accuracy of over 99%, and even when combining blood spots and other items, it can be determined with an accuracy of over 90%.

    In addition, classified egg image data can be used as chicken condition, disease prediction and analysis information through big data analysis, and the collected egg data can be integrated with sorter data to determine egg grade, productivity analysis, history system linkage, and ICT fusion. Complex service connection is possible. Another strength of the MLOps solution is that the collection, purification, processing, AI model development, and distribution of data for each farm are performed automatically, and quality control for each farm is possible to ensure accuracy and reliability.

    An official from Hanbat IoT said, “Starting in 2022, the European market is changing from the existing sound wave and vibration method to an inspection method using machine vision cameras and artificial intelligence. Since the implementation of the Edible Egg Selective Packaging and Distribution Permit System in 2020, various egg inspection technologies such as sound waves, vibration, and spectroscopy have been spread, but various problems such as increased incidence of cracks due to tapping of mechanical devices, increased cross-contamination, difficulty in maintenance, and reduced reliability have been introduced. “The outbreak has aggravated the difficulties of farmers,” he said.

    Egg quality tester │Provided by Hanbat IoT
    Egg quality tester │Provided by Hanbat IoT

    He continued, “To solve these problems, we have increased trust in quality by applying more accurate and reliable technology through non-destructive and non-contact machine vision cameras, and developed various quality analysis technologies required at the production site.” did.

    Hanbat IoT’s products are installed and operated at egg collection points (GPs) at production farms across the country, proving its technological prowess. We are collecting more than 1 million egg data per day from farms where the product is installed, and plan to provide various analysis information through this. In addition, in order to expand the market overseas, we are conducting online and offline consultations with buyers from various countries such as China, Thailand, Vietnam, Cambodia, South America, and Europe, and are also signing an MOU to expand the supply chain. As part of this, we are developing quality inspection technology for hatching eggs required by the Chinese market, and plan to focus on developing and selling overseas markets after 2024.

    An official said, “We are currently continuously upgrading the model of our egg quality inspection machine, and at the same time, we are conducting research, development, and data collection for new services using machine vision and AI image analysis technology. “We plan to expand the market not only to egg inspection, but also to all industries that require quality inspection, such as food, fish, shellfish, and fruit,” he said. “We will provide work efficiency to production farms by developing and distributing various services such as MLOps automation, smart HACCP, and traceability systems.” “We are planning a platform that provides convenience and has a livestock product supply chain that consumers can trust.”

    Meanwhile, at AFRO 2023, the largest Agtech & Foodtech event in Korea, domestic startups with global growth potential in Agtech, Foodtech, and Green Bio will exhibit products and services to solve various problems in the agriculture and food industries, Various programs such as conferences discussing the present and future of Agtech and Foodtech and investment briefings (IR competitions) are held. This exhibition is hosted by the Ministry of Agriculture, Food and Rural Affairs and supervised by the Korea Agricultural Technology Promotion Agency, NH Nonghyup, COEX, and the Korea Food Tech Council.

    → Go to AFRO 2023 news special page