Waste Parrot
Waste Parrot provides AI-powered computer vision and drone-based geospatial solutions for the waste management industry. Its platform enables waste characterization and sortation across more than 50 material categories, even when contamination is present, while drone mapping with LiDAR and infrared gas detection supports applications in oil & gas, agriculture, and related sectors.
- Artificial Intelligence
- Clean Technology
- Drones & Uncrewed Systems
- Industrial Automation
- Hardware
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Waste management facilities struggle to accurately identify and sort recyclable materials, particularly when contamination is present, leading to reduced material recovery and lower energy yields. Traditional infrared-based sorting systems fail to recognize contaminated materials, and manual waste characterization is slow, imprecise, and costly.
Solution
Waste Parrot develops AI-driven computer vision and drone-based geospatial solutions that enable precise waste characterization, sortation, and digital-twin modeling. Its AI-powered vision system identifies and captures materials across more than 50 categories in real time, including single-stream, MSW, fiber, plastics, metal, film, and e-waste, even when contamination is present. The platform also detects hazards and material jams to reduce maintenance needs and maximize operational uptime. Drone mapping solutions featuring LiDAR, inspection capabilities, infrared gas detection, and CH4 quantification support efficiency improvements across waste management, oil & gas, agriculture, and other industries.
Target Audience
Primary customers are startups, established companies, and indigenous organizations in waste management, oil & gas, agriculture, and manufacturing seeking AI-driven operational improvements and sustainable production solutions.
Features
- AI-powered vision system for real-time waste characterization across more than 50 material categories, including single-stream, MSW, fiber, plastics, metal, film, and e-waste
- Computer vision that recognizes recyclable materials even when contaminated, unlike traditional infrared systems
- Real-time detection of hazards and material jams to reduce maintenance needs and maximize operational uptime
- Drone-based geospatial mapping with LiDAR, 3D oblique imagery, inspection capabilities, infrared gas detection, and CH4 quantification
- Edge and server systems for waste characterization enabling precise analysis of various waste types
- Digital-twin modeling solutions designed to enhance energy yields and transform waste into sustainable fuels
- User-friendly API and documentation for integration into existing apps and workflows