Project 04
Watching the Operational Zone
An ongoing computer-vision proof of concept for logistics SOP monitoring using video feeds, ROI zones, evidence capture, and alert logic.
- ONGOING POC
- CONFIDENTIAL CONTEXT
- Category
- Computer Vision / Operations
- Role
- Computer Vision Intern
- Maturity
- Ongoing proof of concept
- Year
- 2026
30-second proof
What this proves
- Problem
- Logistics SOP review required a structured way to explore events, operational zones, evidence, and alert logic.
- Operational or business context
- Confidential ongoing computer-vision proof of concept.
- My contribution
- I'm contributing to video-analysis requirements, ROI zones, evidence capture, event logic, alerts, and dashboard requirements.
- Constraints
- Confidential operational scenarios · Real video feeds cannot be shown · Event definitions are not public · Project remains ongoing
- Project maturity
- Ongoing proof of concept
- Contextual technical stack
- OpenCV · YOLO · RTSP/video analytics · ROI logic · Evidence capture
Measurement noteNo completed operational-impact metric is publicly claimed.
Ownership
Contributed to
- I'm contributing to ROI analysis, evidence capture, event logic, alerts, and dashboard requirements.
Collaborative context
- Confidential ongoing computer-vision proof-of-concept context.
Not shown publicly
- Real video feeds, event definitions, camera scale, and internal architecture are not shown.
Overview
An ongoing computer-vision proof of concept for logistics SOP monitoring using video feeds, ROI zones, evidence capture, and alert logic.
The problem
Operational monitoring work must be tested carefully and described accurately, especially when it uses confidential compliance scenarios.
Context
This is ongoing proof-of-concept work, not a completed production deployment.
My role
I am working on this proof of concept as a Computer Vision Intern.
What I built
I'm contributing to a proof-of-concept structure using video feeds, ROI zones, evidence capture, and alert logic.
How it works
The public explanation stays generalized around ROI zones, evidence capture, and alert logic.
- Video feed
- ROI analysis
- Event detection
- Evidence capture
- Alert review
Decisions
- I used ROI-based logic to focus event analysis.
- I included evidence capture for reviewability.
- I treated the work as an iterative POC rather than a finished deployment.
Evidence and results
The verified evidence is 18 confidential compliance scenarios.
No completed operational-impact metric is publicly claimed because this remains an ongoing proof of concept.
No completed operational-impact metric is publicly claimed.
Challenges and limitations
It should not be described as completed production deployment. Exact camera scale, internal compliance names, real feeds, and internal architecture are not disclosed.
This is ongoing proof-of-concept work. Exact camera scale, internal compliance names, real feeds, and internal architecture are not disclosed.
What I would improve next
I would keep the next steps framed as proof-of-concept refinement until production status is verified.