a high precision, deep learning software

Rosepetal is a computer vision software suite with supervised learning through convolutional neural networks.

Key features

  • User-friendly UI and cloud platform for neural network training.
  • Includes a No-Code option to customize image preprocessing, prediction, and logical post-processing of processes.
  • Facilitates compliance with industry regulations and enables integration with devices and applications through connectors and API.
  • Suitable for any camera
Agriculture

food industry & agriculture

Advanced defect detection in packaging and produce, ensuring every item meets rigorous quality benchmarks. Object counting and classification from the production line.

See success story

Pharma and healthcare

Benefit from precise defect detection, label verification and character recognition, ensuring high-quality products. Our technology is designed to comply with strict regulatory standards such as FDA 21 CFR Part 11, enhancing patient safety and reducing operational costs.

Pharma
Automotive

Automotive and manufacturing industries

Automate quality control, from detecting scratches on metal parts to verifying assembly completeness, significantly reducing manual inspection times. Classify objects and their components effortlessly.

Advanced OCR technology allows for precise character reading on metal components, even under challenging conditions.
See success story

Consumer products and electronics

Our system excels in character recognition, reading text even from dark or complex backgrounds, ensuring every part is accurately identified and tracked. Sort objects based on nuanced characteristics, from size to type.

Identify deviations that could compromise product integrity. Whether it's a slight misalignment or a component flaw, Rosepetal ensures such irregularities are caught early in the production cycle. This suite of capabilities transforms quality control, enhancing precision and reliability in electronics manufacturing.

Consumer products

SUCCESS STORIES

Seed classification for argirella nervosa

Argirella Nervosa, a seed producer, wanted to automate the seed classification process. Rosepetal provided a high-precision, automated quality control system that significantly improved the classification process based on size, color, and shape among other characteristics. This innovation enabled Argirella Nervosa to overcome the challenge of accurately inspecting seeds, a task previously marred by a substantial error margin when conducted manually. The system's ability to operate autonomously without the need for constant supervision streamlined the quality control process, freeing up valuable time for geneticist operators to focus on more critical tasks.

A year after implementing Rosepetal

● Notable improvements were observed in  production efficiency, classifying seeds by quality in 5 different groups. 
● Minimized errors in seed classification, enhancing the ability to handle a larger business volume.
● Only one post-installation service has been needed. Rosepetal is working autonomously with no issues.

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seeds

SPRAY AND LABEL INSPECTION for montana colors

Montana Colors, a leading spray paint producer, required a system to ensure their spray cans' integrity. The key inspection criteria included:

● The cap, nozzle and color ring are present
● Absence of imperfections or paint stains on the can
● Vertical 1D code readability
● Correct label positioning

The proposed solution is an advanced machine vision quality control system tailored for industrial environments, incorporating deep learning technologies. It features a deep learning-optimized processor, 4 artificial vision cameras, and a specialized mechanical handling system for thorough can inspection. This system meets all specified requirements with an impressive 99.7% accuracy rate.

 

Diseño sin título-Mar-21-2024-02-56-50-3478-PM