AI-Enhanced Real Estate Work Verification

Introduction :

In the real estate field servicing industry, verifying completed work by vendors is crucial before making payments. However, a major challenge arises when vendors upload old or inaccurate pictures, making it difficult to ascertain if the work was truly completed. In this blog post, we present a compelling case study that highlights how advanced technologies, including Google Vertex AI Vision, Image Search, Elastic Search, and Google Maps, were harnessed to address this challenge. By leveraging AI and image search technology, our solution provided a robust verification process, enabling accurate work validation and ensuring fair payment practices.

Problem:

A real estate field servicing company faced difficulties in verifying completed work submitted by vendors. Vendors were required to upload pictures of the work alongside their invoices. However, there were instances where vendors uploaded old or unrelated images, making it challenging to determine if the work was genuinely completed. With millions of images in their database, even searching for a match within the past year was an arduous task.

Technology Used:

To overcome this challenge and establish an efficient work verification process, we leveraged the following advanced technologies:

  1. Google Vertex AI Vision:
    • Utilized Google Vertex AI Vision to analyze and extract information from uploaded images.
    • Leveraged machine learning algorithms to identify key elements and objects within the images.
  2. Image Search and Elastic Search:
    • Employed Image Search technology to create a unique digital signature for each image.
    • Indexed the digital signatures in Elastic Search for efficient search and retrieval.
  3. Google Maps:
    • Utilized the Google Maps API to verify the location where each picture was taken.
    • Cross-referenced the image location with the designated work site to ensure accuracy.

Solution:

Our implemented solution revolutionized the work verification process, combining AI-driven image analysis, digital signature matching, and location verification. Here’s an overview of the solution:

  1. Image Analysis and Digital Signature Creation:
    • Utilized Google Vertex AI Vision to analyze uploaded images and extract relevant information.
    • Created a unique digital signature for each image, capturing key elements and objects using machine learning algorithms.
  2. Elastic Search Indexing:
    • Indexed the digital signatures of all images in Elastic Search, allowing for efficient search and retrieval.
  3. Image Matching and Human Verification:
    • When a new image was submitted, the solution searched for possible matches in the Elastic Search index.
    • Raised an alert for human verification when a potential match was found, ensuring accurate work validation.
  4. Custom Machine Learning Model:
    • Developed a custom machine learning model to identify the presence of specific items of interest, such as locks or grass, within the images.
    • Leveraged the model to enhance the accuracy of work verification and minimize false positives.
  5. Google Maps Location Verification:
    • Utilized the Google Maps API to verify the location where each image was taken.
    • Cross-referenced the image location with the designated work site to ensure accurate work completion.

The Results:

The implementation of our AI-powered solution delivered remarkable outcomes for the real estate field servicing company:

  1. Enhanced Work Verification:
    • Enabled accurate verification of completed work by leveraging AI-driven image analysis and digital signature matching.
    • Minimized instances of false or unrelated image submissions, ensuring fair payment practices.
  2. Streamlined Payment Processes:
    • Facilitated a more efficient payment process by automating work verification, reducing the need for manual image inspection.
  3. Improved Vendor Accountability:
    • Increased accountability among vendors by establishing a robust verification system, deterring the submission of inaccurate or outdated images.

Conclusion:

The successful implementation of AI and image search technology revolutionized work verification for the real estate field servicing company. By leveraging advanced technologies such as Google Vertex AI Vision, Image Search, Elastic Search, and Google Maps, our solution provided an efficient and accurate process for verifying completed work. Ensure fair payment practices and streamline your work validation with AI-powered solutions.

Call-to-Action:

Ready to enhance work verification processes with advanced technologies? Contact us today to explore how our expertise in AI and image search technology can transform your real estate field servicing operations and drive efficiency.