Excitement fills the air as we proudly unveil the newest enhancements in VP-motion with the release of Version 1.2.0. VP-motion now showcases state-of-art features designed to elevate your experience and efficiency. From refined workflows to groundbreaking functionalities, our team has poured dedication into crafting a version that goes beyond expectations.
In this blog post, we’ll walk you through the key additions, giving you an exclusive preview of the transformative capabilities awaiting you in VP-motion Version 1.2.0. Get ready to experience a new level of excellence!
Introducing Exciting Updates in Version 1.2.0
We’re excited to introduce three fantastic new features that promise to enhance your experience in V1.2.0. Whether you’re a seasoned user or just getting started, these additions are designed to make your interaction with V1.2.0 more seamless and enjoyable. Let’s check them out!
Video Analysis App ‘Analyzer’
The new feature, ‘VP-Motion Analyzer,’ is a video analysis application equipped with the ability to aggregate and output work time by label, and analyze multiple videos simultaneously. Designed to enhance the efficiency of video analysis, ‘VP-Motion Analyzer’ ensures a significant leap in processing speed, promising a streamlined and accelerated workflow. Upgrade your video analysis experience with ‘VP-Motion Analyzer’ and experience a whole new level of simplicity and speed!
In the previous version of VP-Motion, video analysis necessitated the use of the ‘Monitor’ for visual confirmation of footage. However, with the introduction of the new ‘Analyzer’ app, a notable transformation has taken place. Exclusively through the ‘Analyzer,’ users can obtain results in the form of CSV files. This enhancement simplifies the analysis process, providing a more streamlined and efficient experience for users. Say goodbye to the need for continuous visual confirmation during video analysis, and welcome the ease of obtaining comprehensive results directly through the ‘Analyzer’ app.
The output of the analysis results mirrors that of the ‘Monitor,’ yet it comes with distinct advantages:
- Utilize pre-trained models to conduct bulk analysis on videos at the folder level, effectively minimizing the analysis workload.
- Benefit from real-time processing without any waiting time, facilitating background execution and expediting the analysis process.
- Operate seamlessly through commands, enabling integration with various automated systems for enhanced efficiency.
- Effortlessly aggregate and output work time data for each task label per video in CSV format, offering a comprehensive overview of task distribution and resource allocation.
Enhancements and Improved Accuracy in Image-Based Analysis
A new ‘Hand-Cropping‘ mode has been added to Image Based Analysis. This innovative feature narrows the focus to the immediate surroundings, exclusively learning and analyzing the elements within reach. Previously, analysis targeted all pixels within the video, leading to potential influences from irrelevant objects or background elements. With the addition of the ‘Hand-Cropping‘ mode, you can now conduct learning and analysis with a focus on your immediate surroundings, avoiding external influences. This not only enhances precision but also significantly improves overall accuracy in the analysis process.
For examples; Let’s take a look at these two pictures:
By excluding areas outside the red frame, such as the ‘Background,’ from the learning and analysis process, the system remains unaffected by the surrounding environment. For instance, variations in the position of other objects on the workbench or nearby chairs will not interfere with the learning process. This targeted exclusion ensures a focused and precise analysis, allowing the system to ignore irrelevant elements and maintain accuracy in the learning process.
Latest Pose Estimation AI in Skeletal-Based Analysis
We’ve implemented the latest pose estimation AI in Skeletal Based Analysis, to enhance accuracy and minimize false detections from the background. Particularly noteworthy is the improved accuracy in overhead footage, where the increased flexibility in camera placement allows for the adoption of a system tailored to the on-site environment. This enhancement ensures a more accurate and adaptive approach to analysis, promising a refined experience for our users.
Additionally, users have the option to switch back to the conventional AI if they prefer to use the previous version, providing flexibility based on individual preferences.
Additional Update Highlights
VP-Motion Trainer
- Capability to update the base model for Image-Based Analysis
- Changed color of full-screen version of Image-Based model from Red to Cyan (Light blue)
VP-Motion Monitor
- Addition of pause and resume function during video playback
- Added feature to loop videos
- Display correct labels when annotation data matches the video
VP-Motion Annotator
- Bug fixes & various improvements
For more details, please refer to the product page.
Conclusion
In our latest update, we’ve introduced transformative features across our suite of applications, with a special focus on ‘Video Analysis App.’ Notable enhancements include the precision-boosting ‘Hand Cropping’ for Image-Based Analysis and the integration of the latest Pose Estimation AI in Skeletal-Based Analysis. Overcoming challenges like background interference, our system now offers flexible camera placement, providing tailored analysis for diverse environments. Users can effortlessly switch between new and conventional AI, ensuring a seamless experience. This update reflects our commitment to delivering accuracy, adaptability, and user-friendly options. Experience the future of video analysis with our latest enhancements!
If you require additional information, please do not hesitate to reach out to us.
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And don’t forget to explore our latest blog posts for more in-depth insights into the exciting updates and features of VP-Motion. Stay informed and discover how these enhancements can elevate your analysis experience!
