From initial site assessment to ongoing support, our deployment process is designed to ensure a smooth and successful integration of our technology into your operations.
Deploying AI cameras to your facility can significantly enhance your manufacturing processes, improve productivity, and optimize operations.
To ensure a smooth and effective implementation, Zira follows a structured six-phase deployment process. Here's how we guide you through each step:
Phase 1 - Assessing Your Site
The first step in deploying AI cameras is to conduct a thorough site assessment. Our team collaborates closely with your personnel to understand your site’s unique procedures and processes. By getting a comprehensive understanding of your facility, we can ensure a smooth and standardized deployment. This phase is crucial for tailoring the deployment to your specific needs and setting a solid foundation for the subsequent phases.
Phase 2 - Installing Your Camera
Next, we focus on the installation and mounting of the AI cameras. Our team works hand-in-hand with your site team to ensure that the cameras are installed in optimal locations. Standardizing the installation process across all sites enhances the reliability and effectiveness of capturing real-time data. Proper installation is vital for the cameras to function correctly and provide accurate data.
"Zira's AI team makes it incredibly easy to get up and running with cameras within days." – Plant Manager
Phase 3 - Modeling & Calibration
Once the cameras are installed, we move on to modeling and calibration. This phase involves setting up the camera’s environment, gathering essential data, and annotating objects. Our team uses this data to create precise models that detect and measure objects accurately. The goal is to ensure that the AI cameras can reliably identify and quantify various elements in your production process.
Here's a short overview of the process:
Data Collection:
Recording Sample Videos: After the camera is installed, we begin by capturing sample videos of the live process.
These videos encompass various conditions, lighting, angles, and object types relevant to the application.
Annotation:
Object Annotation: Each frame in the sample videos must be annotated to mark the objects of interest for detection.
Annotate for Measurement: Annotating reference points from from objects and lines to establish scale and true measurements.
Model Training: We train the model using the annotated dataset, adjusting hyperparameters and monitoring performance metrics for accuracy, precision, and recall.
Calibration:
Measurement Calibration: We calibrate the camera to correct distortions and ensure accurate measurements, finalizing parameters like focal length, principal point, and lens distortion coefficients.
Counting Line Calibration: We count objects passing a specific line, calibrating data capture based on the counting line's position relative to the camera.
Testing and Evaluation:
Model Validation: Test the trained model on separate validation datasets to evaluate its performance in detecting and measuring objects accurately under various conditions.
Phase 4 - Validating High Performance
For each A.I. Camera installed, Zira’s team will calibrate and conduct testing and validation procedures before going live to ensure the solution's accuracy, reliability, and adoption. Our validation process includes comprehensive testing of system functionality and data accuracy across various production scenarios to facilitate optimal performance tailored to each plant’s specific environment.
The validation videos are provided to demonstrate our rigorous testing and validation protocols, offering management a clear understanding of the data collection process and alleviating any concerns regarding validity or errors. By validating data against manual measurements or existing systems, we aim to affirm alignment and reliability, bolstering confidence in the system's performance and ability to meet your operational needs effectively.
Phase 5 - Getting Your Dashboard
Once an A.I camera is installed and data validation is complete, Zira will configure identical dashboards for every plant. This systematic approach ensures ease of deployment and uniformity, simplifying the monitoring process across all sites while offering valuable KPIs and process insights.
Zira will empower management to easily access and visualize real-time data across all sites, fostering consistency and coherence in operations. Plant-level users will be able to view data made accessible to them.
Your management team will always have the ability to innovate and customize data displays for collected data, ensuring adaptability and scalability for future growth.
Phase 6 - Ongoing Training
During the go-live phase, we will present the final prepared dashboard, showcasing the key metrics and functionalities outlined by your team. A user acceptance and training period will commence after this presentation, allowing your team to familiarize themselves with the system and ensure its alignment with operational objectives.
Conclusion
Deploying AI cameras with Zira is a streamlined process designed to enhance your facility's efficiency and productivity. By following these six phases—site assessment, camera installation, modeling and calibration, performance validation, dashboard deployment, and training and onboarding—we ensure a smooth and effective implementation.
Ready to transform your operations? Contact Zira today to get started.
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