Funding
Funding not disclosed
Founders
Product
Problem
Plastic contamination in cotton processing is a significant challenge that degrades quality, leading to market value reduction and non-compliance with international standards. Current detection methods are often insufficient, failing to identify contaminants early in the beneficiation process.
Solution
Findrs provides an AI-powered vision system designed for the cotton industry to detect plastic contaminants in real-time during the beneficiation process. The system utilizes advanced computer vision algorithms and machine learning models to identify and flag plastic particles with high precision. This automated inspection ensures that cotton meets premium quality benchmarks and global standards. By integrating Findrs, producers can preserve their crop's value, enhance operational efficiency, and optimize resource utilization. The platform also offers detailed reporting and automated alerts to facilitate continuous process improvement.
Target Audience
The primary customers are cotton producers and processors seeking to improve product quality, ensure compliance with international standards, and optimize their operational workflows.
Features
- Real-time detection of plastic contaminants using computer vision and AI.
- Automated inspection and identification of defects throughout the production line.
- Integrated gaze-tracking sensors for reliable test accuracy.
- Cloud-hosted analytics pipeline for data storage, access, and analysis.
- Machine learning models for quantifying defects and flagging results for review.
- Web dashboard for visualizing contamination data and generating detailed reports.
- Configurable alerts via email, SMS, or WhatsApp for immediate issue escalation.
- API for integration with existing production systems.