EcoSort Vision
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PublishedPrototypePrototypeSustainability & Environmental TechnologyApplication Submitted

EcoSort Vision

Funding Need$35,000
Published May 21, 2026
By Majlis Demo Team

Overview

EcoSort Vision is a computer vision platform designed for recycling centers, municipalities, and environmental operators. The system analyzes camera feeds from sorting lines, detects material categories such as plastic, paper, metal, and glass, and provides operational insights that improve sorting accuracy and reduce manual workload. The project supports sustainability initiatives by making recycling operations more measurable, scalable, and data-driven.

Problem Statement

Recycling centers often rely on manual sorting, inconsistent classification, and limited operational visibility, which reduces efficiency and increases contamination in recyclable streams.

Proposed Solution

EcoSort Vision uses AI-based object detection and visual analytics to identify waste categories in real time, support sorting decisions, and generate performance reports for operators.

Business Model

B2B SaaS subscription for recycling operators, with optional hardware integration and analytics dashboards.

Competitive Advantage

Combines real-time visual detection with operational reporting, making waste sorting measurable and scalable without requiring a full infrastructure replacement.

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Project Details

StagePrototype
CategoryPrototype
SectorSustainability & Environmental Technology
Funding Need$35,000
PublishedMay 21, 2026
Patent StatusApplication Submitted

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