Csmart.ai develops AI-powered image identification solutions specifically for coffee grading, utilizing computer vision and data analytics to assess quality at various production stages. Their technology enhances accuracy and consistency in grading, reducing financial losses from incorrect analyses while providing transparency and traceability in the coffee supply chain.
Funding
Funding not disclosed
Founders
Product
Problem
Coffee grading, a critical step in ensuring quality and competitive advantage, involves complex and time-consuming operations. Traditional grading methods rely on statistical samples, making them susceptible to inaccuracies that can lead to significant financial losses for stakeholders.
Solution
Csmart.ai offers AI-powered image identification solutions designed to enhance the accuracy, consistency, and transparency of coffee grading at various stages of production. Their technology leverages computer vision and data analytics to provide in-depth analysis of green coffee beans, extract quality data, and generate comprehensive grading reports. The Csmart Digit device captures and stores images of every seed, enabling traceability and data-driven decision-making. Csmart.ai also offers solutions like Csmart Vortex, an electronic sorter for small producers, roasters, and coffee shops, and Csmart P20, a color sorter for coffee cherries.
Target Audience
Csmart.ai targets coffee producers, roasters, quality control labs, and coffee shops seeking to improve the accuracy and efficiency of their coffee grading processes.
Features
- **Csmart Digit:** Accurately classifies green coffee, extracts quality data, generates grading reports, and stores images of every seed.
- **Csmart Vortex:** Electronic sorter for green or roasted coffee, eliminating primary defects and Quakers.
- **Csmart P20:** Color sorter for coffee cherries with a 20-channel conveyor belt, embedded computer vision system, and high-speed CMOS camera.
- **Individual Coffee Analysis:** Provides in-depth analysis of green coffee examining aspects of shape, color, and texture.
- **Batch Evaluation:** Generates comprehensive batch assessments from individual analyses, with remote data access and sharing capabilities.
- **Custom Database:** Allows users to enhance analyses using AI models tailored to specific requirements.
- **AI Model:** Trained with hundreds of thousands of images for defect prediction.
- **Descriptive Statistics:** Obtains visual statistics from individual seed analysis, extracting crucial features from every seed in a coffee sample.
- **Exploratory Analysis:** Compares different lots and uncovers similarities using sophisticated statistical tools designed for unsupervised clustering.