AI Elevates Predictive Maintenance Anomaly Detection

A company specializing in anomaly detection for machinery faced challenges in verifying results and evaluating their AI models. They implemented an AI solution from Dataloop that automates data labeling and streamlines model management. This resulted in an 80-90% reduction in time spent evaluating models, allowing them to identify critical issues faster and improve safety across various industries.

Client:

Odysight.ai is a pioneer in the Predictive Maintenance and Condition Based Monitoring markets, providing visual AI-based solutions for critical systems in various industries. Leveraging cutting-edge AI and miniature optical sensors, Odysight.ai’s technology enables real-time monitoring and anomaly detection, preventing costly equipment failures and ensuring operational safety. Committed to innovation and customer success, Odysight.ai continuously refines its AI-powered solutions to deliver enhanced predictive capabilities and maximize asset uptime.

Problem Statement:

Odysight.ai, a company specializing in anomaly detection for complex machinery using miniature cameras and AI, faces two critical challenges:

● Manual and Time-Consuming Verification: The current process of verifying anomaly detection results involves extensive manual review of large volumes of data (images) from multiple sensors, leading to inefficiencies and delays.
● Inefficient Model Evaluation and Improvement: The existing method for evaluating and improving AI models is inadequate. It’s hindering the ability to identify and address performance issues, potentially impacting the accuracy of anomaly detection.

Results:

☑️ Reduced Anomaly Verification Time: Dataloop’s automation slashed anomaly verification time by 80-90%.
☑️ Lower Model Development and Evaluation Costs: Significant cost savings were achieved by streamlining model development and evaluation processes.
☑️ Enhanced Model Accuracy: The improved evaluation process led to an increase in model accuracy.
☑️ Accelerated Time to Market for New Solutions: AI-powered tools sped up the development cycle, bringing new solutions to market faster.
☑️ Overall Cost Savings: The combined impact of automation and efficiency improvements resulted in substantial cost reductions for Odysight.ai.

AI Solution:

Faced with challenges in verifying anomaly detection results and evaluating their own AI models, Odysight.ai implemented an AI solution from Dataloop. This AI platform comprised two key components:

1. Dataloop’s Data Pipelines:
Odysight.ai deals with large volumes of image data from multiple sensors. Manually labeling and annotating this data was a time-consuming bottleneck. Dataloop’s data pipelines addressed this by:

Automating Labeling: The pipelines can leverage Odysight.ai’s existing models for pre-annotation, reducing the need for extensive manual labeling.
Customizable Workflows: Odysight.ai can design workflows tailored to their specific needs, ensuring efficient data preparation and annotation.
Improved Quality Control: Dataloop’s tools provide features like real-time validation and post-processing to ensure the accuracy of annotated data.

2. Dataloop’s Model Management Tools:

Evaluating and iterating on their AI models was another challenge for Odysight.ai. Dataloop’s model management tools helped them overcome this hurdle by:

Streamlined Model Training: Odysight.ai can train models using different versions of data, allowing for faster experimentation and improvement.

Performance Comparison: The platform enables them to compare the performance of various model versions using dedicated test sets and metrics.
Deployment and Tracking: Odysight.ai can easily deploy the best performing models and track their versions for future reference.
With automated data pipelines and advanced model management tools, Odysight.ai has achieved a significant reduction in manual tasks, a smoother anomaly detection process, and a faster development cycle for its AI models.

References:

1. Dataloop Enhances Anomaly Detection with Flexible Data Pipelines | Odysight.ai Case Study

Industry: Software Engineer
Vendor: Dataloop
Client: Odysight.ai