You will get energy asset detection from satellite imagery using AI
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Project details
š I build AI systems that detect and structure energy infrastructure from satellite imagery at scale.
If you have satellite data and need to identify assets like refineries, power plants, or gas facilities, I can help you turn raw imagery into structured, analysis-ready intelligence.
š” What this gig covers
I will build a system that:
ā Detects energy assets (refineries, power plants, gas facilities, rigs)
ā Processes large satellite datasets (Sentinel, Landsat, Planet, Maxar)
ā Converts imagery into structured datasets for analytics
ā Eliminates manual analysis workflows
This is ideal for:
ā” Energy analytics platforms
š¦ Financial / investment firms
š Data companies building intelligence products
š Market and infrastructure monitoring
š§± What you get
ā Multi-class detection models for energy infrastructure
ā End-to-end processing pipeline (ingestion ā inference ā output)
ā Structured datasets (GeoJSON, shapefiles, etc.)
ā Scalable system ready for large datasets
āļø Tech & approach
ā Computer Vision (object detection, segmentation)
ā Satellite imagery processing
ā Geospatial pipelines (GDAL, Rasterio)
ā Scalable data processing workflows
If you have satellite data and need to identify assets like refineries, power plants, or gas facilities, I can help you turn raw imagery into structured, analysis-ready intelligence.
š” What this gig covers
I will build a system that:
ā Detects energy assets (refineries, power plants, gas facilities, rigs)
ā Processes large satellite datasets (Sentinel, Landsat, Planet, Maxar)
ā Converts imagery into structured datasets for analytics
ā Eliminates manual analysis workflows
This is ideal for:
ā” Energy analytics platforms
š¦ Financial / investment firms
š Data companies building intelligence products
š Market and infrastructure monitoring
š§± What you get
ā Multi-class detection models for energy infrastructure
ā End-to-end processing pipeline (ingestion ā inference ā output)
ā Structured datasets (GeoJSON, shapefiles, etc.)
ā Scalable system ready for large datasets
āļø Tech & approach
ā Computer Vision (object detection, segmentation)
ā Satellite imagery processing
ā Geospatial pipelines (GDAL, Rasterio)
ā Scalable data processing workflows
Machine Learning Tools
BigDL, ChatGPT, MLflow, pandas, PyTorch, SciPy, SQLWhat's included
| Service Tiers |
Starter
$1,800
|
Standard
$4,500
|
Advanced
$8,000
|
|---|---|---|---|
| Delivery Time | 15 days | 25 days | 35 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Number of Model Variations | 1 | 3 | 7 |
Number of Scenarios | 5 | 5 | 5 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
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About SLAH
AI Engineer for Visual & Geospatial Intelligence | CV, LLMs, Edge AI
100%
Job Success
Lahore, PakistanĀ - 1:08 am local time
šµ $40-60/hr
š I build AI systems that turn visual & complex data into real intelligence, not demos.
If you have satellite imagery, video, sensor data, or large datasets but struggle to extract insights, automate workflows, or build production-ready AIā¦
š I help you turn that into a scalable, usable system.
---
šÆ What I do
I help companies transform raw data into:
ā Detectable objects (assets, infrastructure, events)
ā Structured, usable datasets
ā Queryable intelligence (APIs, dashboards, AI agents)
Most of my work sits at the intersection of:
š°ļø Satellite & geospatial data
š¹ Video / camera / drone imagery
š¤ AI agents & intelligent query systems
---
š” Common problems I solve
ā āWe have image/satellite data but no usable insightsā
ā āWe need to detect and track objects at scaleā
ā āOur analysts are doing manual work that should be automatedā
ā āWe want to query our data using AIā
ā āWe need real-time or edge AI (cameras, drones, devices)ā
---
š§± What I build (systems, not scripts)
ā Object detection pipelines (satellite, CCTV, drone)
ā Change detection & monitoring systems
ā Data pipelines (ingestion ā processing ā structured output)
ā AI query layers (chatbots, APIs, agent workflows)
ā Edge + cloud deployments
š Same core system, adapted to your use case
---
š°ļø Experience
Geospatial & infrastructure intelligence
ā Roads, pipelines, power plants, industrial assets
ā Satellite imagery (Sentinel, Landsat, Planet, Maxar)
ā Large-scale mapping & change detection
Visual intelligence (camera / drone / CCTV)
ā Object detection, tracking, segmentation
ā Real-time monitoring systems
ā Industrial, security & operational use cases
AI agents & data interaction
ā Natural language interfaces over complex datasets
ā RAG systems + tool-using agents
ā Workflow automation (filtering, querying, analysis)
---
š Results Iāve delivered
ā” Reduced manual analysis by 80ā90%
š°ļø Built satellite detection systems used in commercial products
š©ļø Real-time vision systems under 100ms latency
š¤ AI agents replacing analyst workflows
šø Reduced AI compute costs by 50%+
---
š§ How I work
ā Define success metrics (latency, accuracy, cost)
ā Design clear system architecture
ā Build fast, iterate early ā no black boxes
ā Deliver production-ready systems with monitoring
---
šÆ Best fit clients
ā Companies with large datasets (images, satellite, video, sensor, text)
ā Teams building data or analytics products
ā Startups turning data into a commercial offering
ā Businesses that need production-ready AI
ā Not a fit for small scripts or generic chatbot work
---
š© Ready to start?
Send me:
ā What data you have
ā What you want to detect / analyze
ā Where this system will run (cloud / edge / etc.)
Iāll respond with a clear plan and next steps.
---
š Core tech
Computer Vision ā¢ Satellite AI ā¢ Geospatial ML ā¢ YOLO ā¢ SAM ā¢ PyTorch
RAG ā¢ LangGraph ā¢ AI Agents ā¢ vLLM
Edge AI ā¢ TensorRT
AWS ā¢ GCP ā¢ Docker ā¢ Ray ā¢ MLflow
Steps for completing your project
After purchasing the project, send requirements so SLAH can start the project.
Delivery time starts when SLAH receives requirements from you.
SLAH works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Review & Data Assessment
Understand dataset, asset types, and project scope.
Solution Design & Setup
Design detection models and data pipeline.