Image recognition technology based on deep learning algorithm, which can complete the statistics of single figure objects in 56 milliseconds.
More than 8,650 species are identified in 0.46 seconds with an accuracy of over 95%.
Leading in species classification and identification, and rapid customization of species identification extensions.
Plants recognition
Accurately identify more than 5,600 plant species.
Pets recognition
Accurate identification of all 256 purebred dogs of the AKC standard and all 42 purebred cats of the CFA standard.
The Matview team won the 7th place in the world in the Kaggle cat and dog recognition competition
Smart Poultry Monitoring
In the agricultural and animal husbandry supply chain finance and rural inclusive guarantee system, poultry population monitoring is a key link. At present, the common practice is to send personnel to the field to count the number. The personnel cost is high, and because poultry is always in an active state, there is a large deviation in the accuracy of manual counting. Matview intelligent poultry monitoring, by establishing a machine learning model, trains poultry images under various states and light conditions, and realizes accurate statistics of poultry numbers, which can greatly improve the accuracy of statistics while reducing costs and increasing monitoring frequency.
Cars recognition
Ability to accurately identify vehicle colors, brands, models, etc. that move at high speeds in video footage.
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