The original stock photo image below is of low resolution, exhibiting limited clarity and, as a result, falls short of the visual standards required for an effective presentation.
Vital Courses
Revolutionizing Pesticide Training: Innovative Design, AI-Enhanced Imagery, and Budget-Friendly Brilliance. Overcoming Constraints for a Seamless Online Learning Experience with 256+ Slides
The Vital Courses Pesticides Certification Training project involved the development of an online training service dedicated to individuals seeking certification in pesticide handling. The project revolved around the implementation of Sharable Content Object Reference Models (SCORM) and required the creation of an extensive curriculum comprising over 256 individual slides. As the primary designer, my responsibilities encompassed not only the overall design and layout but also the management of challenges posed by a limited budget.
One of the primary hurdles faced during the project was the constraint of using low-quality stock photography and images falling under creative commons licenses. To overcome this limitation, an innovative approach was adopted, leveraging AI-generated imagery within strict ethical and legal guidelines. This allowed for the reproduction and enhancement of the original stock photography, ensuring a visually engaging and cohesive learning experience.
Additionally, the restricted budget posed difficulties in securing quality voice narration for the training modules. Through strategic utilization of AI-driven voice narration technology, we were able to achieve a polished end result that met the project’s high standards. Despite the challenges, the Vital Courses Pesticides Certification Training project successfully delivered a comprehensive and visually appealing online training platform, enhancing the accessibility and effectiveness of pesticide certification education.
Utilizing AI generative imagery, the image below has been enhanced through the application of Stability AI's Stable Diffusion. Canny edge detection was utilized, a multi-stage algorithm used to detect a wide range of edges in images.
The process involved creating a new image by employing a combination of image prompts to establish unique photographic conditions. The original image used as reference point, via Canny edge for Stable Diffusion.
The incorporation of prompts is crucial, as it empowers the end user to guide and direct the creative process of the newly generated image.
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Vital Courses, LLC