Practical Issues in 2024: Using Generative AI for Image Search with Text

編輯群2024-10-23

Industry: Artificial Intelligence Application Services

Industry Pain Points:

Currently, retrieving images often requires manually checking each frame to find specific objects or persons, especially in large volumes of images. If one needs to find clues within a specific timeframe, it consumes a significant amount of time and manpower, impacting work efficiency and increasing the risks of fatigue and error in the review process. Even with the aid of online resources to adjust images, some are blurry or low-resolution, still making it difficult to view clearly. This requires reliance on user experience for adjustments, posing challenges in effective resource integration for those without professional experience.

AI Benefits Introduced:

Investigators can quickly locate key images related to the case from extensive CCTV and other image data without relying on traditional manual filtering methods. The system filters images based on textual descriptions entered by investigators, such as time, location, or character traits, shortening the time of manual review significantly and enhancing the screening efficiency, thereby accelerating the pace of investigations.
By reducing repetitive and time-consuming tasks, investigators can focus more energy on high-value analysis and reasoning, as well as case solving. For example, the system quickly filters out irrelevant images, focusing on key scenes potentially involved in the case, enabling investigators to capture crucial evidence in a short time, thus speeding up the case resolution process.

Common AI Technologies:

「Translated content is generated by ChatGPT and is for reference only. Translation date：2024-11-15」