Phuc Labs utilizes patent-pending Vision Valve technology, which employs machine vision and real-time data to digitally separate and recover materials from fluid streams without traditional filtration methods. This approach addresses the challenges of material recovery and pollution in water management, leading to higher yields and reduced energy consumption.
Funding
$780K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
IFounders
Product
Problem
Traditional methods of material separation in fluid streams rely on analog techniques like filters, membranes, and magnets, which can be energy-intensive and result in lower material yields. Current water management and material recovery processes struggle to efficiently extract valuable resources from complex fluid mixtures. This leads to increased pollution and inefficient resource utilization.
Solution
Phuc Labs offers a digital solution for material separation using its Vision Valve technology. This technology employs machine vision and real-time data analysis to identify, separate, and recover materials from fluid streams without the need for traditional filtration methods. By using computer vision to analyze particles in a fluid stream, the system can selectively divert specific materials to different destinations, enabling higher material yields at a fraction of the energy cost compared to traditional methods. The technology aims to revolutionize material recovery and pollution control in various industries.
Target Audience
The primary target audience includes organizations involved in water management, e-waste recycling, agriculture technology, and material recovery seeking to improve efficiency and reduce environmental impact.
Features
- Vision Valve technology using machine vision and real-time data for material separation
- Digital separation method eliminating the need for traditional filters, membranes, and magnets
- Automated particle identification and separation from fluid streams
- Selective diversion of materials to different destinations based on real-time analysis
- Higher material yield compared to traditional separation methods
- Reduced energy consumption compared to traditional separation methods