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AI & Custom Software Dev for Drone Inspection Company

Services Covered:

AI and Machine Learning • Custom Software Development
Project hero — replace with case study imagery
Industry
Industry

Utilities

Duration
Durationinfo-circle

32 months

Budget
Budget

50K - 199K

Start Date
Start Date

1 September 2021

Team Size
Team Size

6-10

Engagement Model
Engagement Model

Onshore

Project Capability Score (PCS)

gauge meter
75/100
Good

Project Capability Score (PCS) estimates how capable Dreamix is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Power Drone ltd

mapSofia, Bulgaria

Project Summary

Dreamix designed and developed a Python-based digital platform for a drone inspection company to generate and process power grid inspection results using computer vision models and GPS algorithms. The platform improves visibility over power grids, identifies problematic spots, and provides preventive maintenance insights that save time and resources. The team delivered on time with responsive communication and professional collaboration.

Key Challenges

  • Create front-end for a digital platform
  • Develop back-end architecture for a digital platform
  • Develop machine learning and AI algorithms for inspection and classification

Project Deliverables

  • Comprehensive platform for generating and processing power grid inspection results
  • Automated grid generation converting uploaded images into GPS-accurate power line routes
  • Advanced image filtering and clustering for grouping and decision-making
  • Comprehensive issue reporting options with regulation-standard checklists for inspections

Project Solution

Developed a Python-based platform combining computer vision models for automated asset classification and algorithms for managing GPS coordinates tied to each image. Implemented automated grid generation to convert uploaded images into GPS-accurate power line routes, advanced image filtering and clustering to group images and grid points by multiple criteria, and comprehensive issue reporting tools based on regulation-standard inspection checklists.

Project Outcome

  • Provides clearer visibility over inspected power grids and potential issues
  • Enables identification of problematic spots and preventive maintenance insights that save time and resources
  • Allows the client to meet specific needs and expand their customer base
  • Project items delivered on time with responsive communication and professional collaboration

Platforms

  • WebWeb

Tech Stack

  • PythonPython

Client Endorsement

Overall Review Rating

5star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The platform provides clear visibility over power grids and problematic spots, allowing the client to meet customer needs and expand their customer base. The team's timeliness, responsiveness, and effective communication have ensured a smooth process. They're highly proactive and professional.”

Yordan Merakov

CEO

Note: This endorsement is based on publicly available client feedback from external review sources.

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