Extract deep insights from video with Voxel51

Table of Contents

Introduction

• Overview of Voxel51
• Key Differentiator
• Video First Mindset

Image to Video Tool

• What is it?
• Benefits
• Early Pilot Customer

Computational and Algorithmic Challenges

• Video Data
• Training Time
• Annotator Crowd

Urban Sensing

• Current Emphasis
• Privacy-Preserving Mindset
• Use Cases

Taking Advantage of Image to Video Tool

• Platform Deployment
• SDK and Documentation
• Solutions Architects

Conclusion

Voxel51: Extracting Deep Insights from Video

Voxel51 is a platform that offers built-in AI capabilities for extracting insights from video. What sets Voxel51 apart is its ability to provide deep insights, such as vehicle body Type, color, make, and more. These insights are scalable, and the platform achieves this through its video-first mindset. Instead of treating a video as a set of frames, Voxel51 views it as a volume of pixels in space-time.

Image to Video Tool

Voxel51 has launched a new tool called the Image to Video Tool. This tool allows customers to take their image models, which they have trained only on images, and drop them right into the platform. The tool enables the models to work on video, saving customers time and engineering resources. An early pilot customer was able to complete the task in just two days, instead of the six months it would have taken to engineer for video.

The benefits of the Image to Video Tool are significant. Customers can leverage their existing image models to extract insights from video, without the need for additional training. This saves time and resources, and enables customers to Scale their insights quickly.

Computational and Algorithmic Challenges

Processing video data presents significant computational and algorithmic challenges. One frame of a video is on the order of a megabyte of data, and one Second of video is 30 frames. The computational challenge of processing video data effectively and efficiently is not only hard at inference time but also at training time.

To extract deep insights from video, Voxel51 needs a significant amount of labeled data. This data is used to train machine learning models that can then extract insights such as behaviors of cats and humans from video. Voxel51 has built its own annotator crowd to efficiently and effectively turn raw data into machine learning models.

Urban Sensing

Voxel51's current emphasis is on urban sensing. The platform looks at humans, infrastructure, and vehicles in a privacy-preserving mindset. Voxel51 does not do anything about identity, such as license-plate recognition or face recognition. Instead, the platform looks at aggregate analyses of what's happening in the scenes. This enables Voxel51 to understand if there's a crowd gathering where it shouldn't be, for example. The data is then used to help humans do the right thing at the right time.

Taking Advantage of Image to Video Tool

To take AdVantage of the Image to Video Tool, customers can deploy the Voxel51 platform in the cloud or on-premises. The tool comes with the platform, and customers can use the SDK available on GitHub to get started. The SDK has rich documentation available, and Voxel51's solutions architects are available to help customers make the most of the tool.

Conclusion

Voxel51's Image to Video Tool is a game-changer for customers looking to extract insights from video. The tool enables customers to leverage their existing image models to extract deep insights from video, without the need for additional training. Voxel51's video-first mindset and annotator crowd enable the platform to extract insights that are both deep and scalable. With its emphasis on privacy-preserving urban sensing, Voxel51 is poised to make a significant impact in the AI space.

Highlights

• Voxel51 offers built-in AI capabilities for extracting insights from video.
• The Image to Video Tool allows customers to leverage their existing image models to extract insights from video.
• Voxel51's video-first mindset and annotator crowd enable the platform to extract deep and scalable insights.
• Voxel51's emphasis on privacy-preserving urban sensing makes it a game-changer in the AI space.

FAQ

Q: What is Voxel51? A: Voxel51 is a platform that offers built-in AI capabilities for extracting insights from video.

Q: What is the Image to Video Tool? A: The Image to Video Tool is a new tool launched by Voxel51 that allows customers to take their image models and drop them right into the platform to work on video.

Q: What are the benefits of the Image to Video Tool? A: The Image to Video Tool enables customers to leverage their existing image models to extract insights from video, without the need for additional training. This saves time and resources and enables customers to scale their insights quickly.

Q: What is Voxel51's current emphasis? A: Voxel51's current emphasis is on urban sensing. The platform looks at humans, infrastructure, and vehicles in a privacy-preserving mindset.

Q: How can customers take advantage of the Image to Video Tool? A: Customers can deploy the Voxel51 platform in the cloud or on-premises. The tool comes with the platform, and customers can use the SDK available on GitHub to get started. Voxel51's solutions architects are available to help customers make the most of the tool.