The progress of Computer Vision and Artificial Intelligence (AI) over the past few years has seen the emergence of game-changing tools that are now accessible to organizations of all sizes. These tools are creating a world of possibilities that are converting business needs into actionable insights. Computer vision AI is playing a more central role by accelerating time to value with its ability to connect video and other data at the edge with broader centralized networks.
From safety and security, to tracking customer flow in retail to optimizing supply chains and transportation, the opportunities to improve outcomes using computer vision AI are immeasurable. Progress, however, is often impeded by operational and design complexities. Specifically, the inability to interpret real-world, unconstrained environments where video and images are less than perfect is a particular challenge. Like humans, even the highest quality cameras and sensors don’t see through night, fog, rain, snow, pollution, and or other obstacles. And most often, computer vision AI solutions are trained on pristine imagery and unobscured objects.
And also, like humans, installed cameras and sensors also age and degrade in vision. While they can be upgraded at significant cost, they still don’t overcome the environmental obstacles. Any of these video or image clarity issues can negatively impact the performance of downstream computer vision algorithms, leading to decreased reliability and inaccurate analytics.
ProHawk AI-Enabled Computer Vision Cuts Through the Noise
When live video is subject to difficult environments, problems fall into two broad categories: light or lack of it, and particulates. ProHawk AI is the only company in the world that restores video in real-time, on a pixel-by-pixel basis, overcoming all lighting, environmental obstacles, and poor quality video and image issues. By revealing each individual pixel’s true representation based on the light, reflection and refraction of particulates, ProHawk Vision produces live video that’s intelligible and actionable for humans as well as for computers and AI.
ProHawk Vision software is deployable at the edge, client, server or cloud, but restoring videos and images requires an accelerated computing solution. According to an analysis by the IEEE, reducing image classification errors by 50% requires 500X computing power. ProHawk’s AI-enabled vision restoration solution uses NVIDIA frameworks and parallel processing on NVIDIA GPUs to recapture clear video quality on live camera streams, video management system streams, and recorded video, handling all environmental obstacles.
Tested and Validated as a Dell Validated Design Solution for Computer Vision
ProHawk Vision was tested and validated by Dell Technologies as a Dell Validated Design Solution for Computer Vision. The Dell Validation Labs rigorously tested the ProHawk Vision Server, leading to the publication of a comprehensive white paper that showcases the solution’s exceptional capabilities in video and image restoration for computer vision applications.
The Dell Validation Labs evaluation including hardware compatibility, integration capabilities, and real-world scenarios concluding with a new Dell/ProHawk capability including:
- Transformed Video Clarity: ProHawk’s video restoration technology significantly improves the quality and clarity of video feeds, ensuring that vital details are captured fully and earlier.
- Accelerated Analytics: ProHawk AI streamlines video analytics, reducing the time required to process (less than 3 milliseconds) and analyze video data, critical for real-time decision-making.
- Improved Accuracy: ProHawk’s advanced algorithms enhance computer vision accuracy, identifying more objects, faster, reducing false positives and increasing the reliability of results.
- Scalability: ProHawk seamlessly integrates with Dell hardware, ensuring scalability to meet the demands of both small and large-scale deployments across multiple industries
- 24/7 Operations: Video in daytime or perfect environmental conditions is actionable, but environmental conditions are never perfect.
To access the white paper and learn more about ProHawk AI’s computer vision workflow solution, see Dell Validated Designs for Computer Vision solutions.
By solving for poor visibility conditions such as low light, haze, and obscured objects, ProHawk facilitates quick decision-making and response time without the need for additional equipment or staff. For example, in the side by side images below, this helps organizations meet safety and security requirements, in high-risk areas and challenging environments.
Wayne Arvidson, Global Director, Market Development & Strategy at Dell Technologies commented, “The validation of ProHawk by Dell’s Validation Labs is a testament to the solution’s leadership in computer vision. ProHawk’s ability to transform video feeds in real-time and improve the accuracy of analytics is invaluable in today’s data-driven world. We are excited to share the results of this validation through our published white paper and look forward to empowering organizations with Dell solutions using this innovative technology.”
Summary
This collaboration between Dell Technologies and ProHawk AI reinforces Dell’s commitment to leadership in AI and to advancing computer vision capabilities ensuring organizations have access to the leading solutions in the world. The Dell Validated Design for Computer Vision is capable of hosting multiple integrated applications from Video Management Systems with ProHawk AI vision restoration software and AI analytics software. for solutions extending from the edge to the core and the cloud.
As an integrated solution that runs on a Dell Validated Design with ProHawk Vision is available for purchase by integrators and resellers through TD SYNNEX, Carahsoft, and other Dell channel partners. Sample side-by-side videos with can be found in the ProHawk Video Restoration Library
