AI, or Artificial Intelligence, refers to the development of computer systems that can perform tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, understanding natural language, speech recognition, and visual perception. The goal of AI is to create machines that can mimic and simulate human intelligence to some extent, allowing them to perform tasks autonomously or assist humans in various activities.
How Artificial Intelligence can help us in Image Verification
Image verification plays a vital role in test automation, acting as a safeguard for the correctness and dependability of automated tests. This process entails a meticulous comparison between the anticipated and the actual images or screenshots, meticulously scrutinizing any deviations that may arise. By doing so, it ensures that the user interface of an application operates as expected across a diverse array of devices and platforms. Automated image verification becomes an indispensable tool in scenarios where conventional element-based testing falls short, such as validating intricate graphical components or analyzing intricate visual layouts. It serves as a comprehensive solution, ensuring that the visual aspects of an application adhere to the desired specifications, thereby upholding the integrity of the overall user experience.
๐๐ฎ๐ซ๐ซ๐๐ง๐ญ ๐๐ฌ๐ฌ๐ฎ๐๐ฌ ๐ข๐ง ๐๐๐ฌ๐ญ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐จ๐ง:
- Manual testingโs ๐ข๐ง๐๐๐๐ข๐๐ข๐๐ง๐๐ข๐๐ฌ ๐๐ง๐ ๐ญ๐ข๐ฆ๐ ๐๐จ๐ง๐ฌ๐ฎ๐ฆ๐ฉ๐ญ๐ข๐จ๐ง in Image testing.
- Difficulty in ๐ฆ๐๐ข๐ง๐ญ๐๐ข๐ง๐ข๐ง๐ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐๐ ๐ซ๐๐ ๐ซ๐๐ฌ๐ฌ๐ข๐จ๐ง ๐ญ๐๐ฌ๐ญ ๐ฌ๐๐ซ๐ข๐ฉ๐ญ๐ฌ due to frequent changes of images in applications.
- ๐๐๐ฉ๐๐ง๐๐๐ง๐ญ on platforms and environment
- Need to ๐ฆ๐๐ฌ๐ค baseline images every now and then
- The complexity of testing for modern applications, especially in image-based or visual testing.
๐๐ฎ๐ซ ๐๐ซ๐จ๐๐ฎ๐๐ญโ๐ฌ ๐๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง:
- Our AI product ๐๐ฅ๐ข๐ฆ๐ข๐ง๐๐ญ๐๐ฌ ๐ฆ๐๐ง๐ฎ๐๐ฅ ๐ข๐ง๐ญ๐๐ซ๐ฏ๐๐ง๐ญ๐ข๐จ๐ง in image testing.
- ๐๐๐ซ๐จ maintenance efforts.
- ๐๐ง๐๐๐ฉ๐๐ง๐๐๐ง๐ญ of Platforms and environments
- ๐ ๐๐ฌ๐ญ๐๐ซ results
- No impact on ๐ฅ๐จ๐๐๐ญ๐ข๐จ๐ง ๐๐ก๐๐ง๐ ๐๐ฌ of patterns or annotations.
- No need to ๐ฌ๐ญ๐จ๐ซ๐ ๐๐ง๐ฒ ๐๐๐ฌ๐๐ฅ๐ข๐ง๐ ๐ข๐ฆ๐๐ ๐๐ฌ
- No need to ๐ฆ๐๐ฌ๐ค baseline images
- It can automate ๐๐จ๐ฆ๐ฉ๐ฅ๐๐ฑ ๐ฌ๐๐๐ง๐๐ซ๐ข๐จ๐ฌ, ๐๐ง๐ก๐๐ง๐๐๐ฌ ๐๐๐๐ฎ๐ซ๐๐๐ฒ, ๐๐ง๐ ๐ฌ๐๐๐ฅ๐๐ฌ testing.
๐๐๐ฅ๐ฎ๐ ๐๐ซ๐จ๐ฉ๐จ๐ฌ๐ข๐ญ๐ข๐จ๐ง
- ย ๐๐๐ซ๐จ ๐๐๐ข๐ง๐ญ๐๐ง๐๐ง๐๐: Your product’s ability to significantly reduce the maintenance burden for image testing, a historically challenging area in test automation.
- ย ๐๐ฆ๐ฉ๐ซ๐จ๐ฏ๐๐ ๐๐ฉ๐๐๐ ๐๐ง๐ ๐๐๐๐ข๐๐ข๐๐ง๐๐ฒ: Automation powered by AI that is faster and more accurate than traditional methods.
- ย ๐๐๐๐ฅ๐๐๐ข๐ฅ๐ข๐ญ๐ฒ: The ability to scale with growing testing needs without increasing resource overhead.
- ย ๐๐จ๐ฌ๐ญ ๐๐๐๐ฎ๐๐ญ๐ข๐จ๐ง: Our AI product drives down the costs by reducing the need for constant updates, manual interventions, and human resources
UNDERSTANDING THE ROLE OF AI IN TEST AUTOMATION
AI plays a crucial role in image verification systems, enabling them to conduct complex and critical tasks efficiently. By using AI, we can analyze vast amounts of data and detect patterns and anomalies. This ability makes image verification much more successful and accurate than traditional methods.
AI TECHNIQUES IN IMAGE VERIFICATION
CONCLUSION
Artificial Intelligence empowers us with a range of impactful image processing capabilities. It can detect shapes and colors. It can zoom, resize, and detect tilt. It can perform Optical Character Recognition (OCR). It can identify colors from images. AI is transforming how we interact with visual data. These actions open up new possibilities. They enable efficiency across various domains. They also enable creativity across various domains.
The incorporation of AI into Image Verification ensures a smooth regression run on target systems. It ensures this for systems with diverse resolutions and for systems with diverse operating systems. It demonstrates efficient performance across all browsers. The combination of AI and OCR proves invaluable. It proves invaluable for Image verification. It proves invaluable for Text verification. It addresses a critical requirement. This requirement is in image verification techniques.
For more info, Please watch the Video….