AI For Social Good | Protecting the biodiversity of the Earth fedex

As a new international organization focusing on the Internet,the World Internet Conference(WIC) is committed to building a global Internet platform for extensive consultation, joint contribution and shared benefits. In order to advocate technology-for-social-good concept, guide global parties concerned to use AI technology to bridge the digital divide and promote human well-being, WIC launchedthe World Internet Conference AI for Social Good Action Planand solicited the projects globally. The first round of 33 projects received from 23 enterprises and organizations cover cultural exchanges, biodiversity conservation, medical health, accessible transformation, education and training, livable environment and other fields. These projects reflect the development trend where close combination of voice recognition, image recognition, natural language processing, situational awareness and other AI technologies with specific social good scenarios provides more diversified solutions to constantly improving social welfare capabilities.

　　FedEx ensures the safe transportation of rare live animals.FedEx has unique monitoring technology, including SenseAware ID Bluetooth sensor, which can comprehensively monitor the temperature, humidity, light and barometric pressure of goods during transportation. Using these technologies, FedEx staff can track the environmental conditions during animal transportation in near real time to ensure that the required temperature and humidity ranges are maintained and excessive light or other infuencing factors are avoided, so that rare animals can be transported efficiently in the safest and most humane way.

　　Microsoft and Tencent Charity Foundation use AI technology to enhance animal recognition capabilities. Microsoftand Shanshui Conservation Center have developed an infrared camera intelligent management system by using image recognition and machine learning technologies. The system can judge and analyze the content of images captured by the camera, such as, whether a wild animal is captured, before classifying them accordingly, with the image recognition accuracy reaching 90%. The system provides a strong tool for monitoring wildlife and relevant research work with improved efficiency. Through the comprehensive use of transfer learning, automatic data enhancement, hard example mining, computer vision and other technologies,Tencent Charity Foundationhas independently developed a set of data platforms including infrared camera data AI recognition and patrol data collaborative management to observe the movements of snow leopards, automatically detect whether animals appear in images or videos and predict the location and category of animals involved. At present, the system can screen out over 98% of aerial photos, with a species recognition rate of over 97%. The number of recognizable species has increased from 23 to 31, the image-level detection rate has improved from 70.8% to 95.5%, and the accuracy has increased from 59.1% to 85.2%. This further enhances the monitoring and protection of snow leopards and helps to improve the results in the protection of endangered species.

　　Uniview utilizes AI technology to assist in the observation and protection of swifts in Beijing.By utilizing AI machine vision technology and intelligent analysis equipment to overcome engineering and technical difficulties in the internal construction of ancient wooden buildings, Uniview conducts 24-hour uninterrupted observation of swift nests and picks up their sound, and obtains a large amount of valuable videos of swift nesting, egg, hatching, and the growth of newborn swift, thus providing rich research materials on swifts’ annual migration, living habits and other aspects, greatly improving the efficiency of data collection by researchers and supporting biodiversity monitoring research.

　　（编辑：穆子叶）

https://digital.gmw.cn/2023-07/25/content_36722836.htm