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VideoSplitter.ai helps you transform videos into business intelligence. You can extract valuable insights from a large volume of videos thanks to mathematical algorithms and AI.
Accurately recognizing faces taken from the video to quickly identify persons of interest. Fast, accurate identification in the face of real-world obstacles such as poor illumination, angled views, facial hair, stance, occlusions like glasses, crowds, and emotion.
Differentiated license plate recognition, made simple to use when locating license plates using watchlists or license plate patterns, is intended specifically for "in the wild" surveillance scenarios. Based on data uploads and pre-existing films, you can search videos and locate specific vehicle license plates across cameras and videos.
The unique fusion of video analytics and deep learning solutions enables rapid video review and search, object recognition, and quantitative video insights.
Increase the efficiency of post-event investigations by quickly and accurately locating relevant individuals and artifacts. Objectively evaluate your videos by extracting and aggregating video metadata such as males, women, children, cars, size, color, speed, path, and more.
Simultaneously displays items that have appeared in videos at various points. As a result, a video segment is drastically cut down while still preserving the viewer's capacity to completely comprehend the scenario. This makes it possible to watch hours of video in only minutes or even seconds.
In applications for public surveillance when it is necessary to keep an eye on the number of people for service quality or public safety, persons should be detected. Allow people counting, wrong-way detection, consumer behavior analysis, and intrusion detection.
Upload an image or a photo of a pet, person, face, or object to find their exact occurrences or appearances in a video.
Maintain a safe perimeter and protect employees in sensitive environments such as correctional facilities by analyzing videos along fences, walls, buildings, and sally ports.
DigIntu Tech Ltd
Hermanova 61
17000 Prague
Czech Republic
EU VAT-ID CZ05233518
Registered in Commercial Register with the Municipal Court in Prague, section C, folder 260406.
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