How GetAnnotator Helped a Surveillance AI Company to Increase Video Annotation Output by 65% in Just 6 Weeks
- Industry: Security & Surveillance
- Client Type: AI-powered Real-Time Security Monitoring System Provider
- Challenge: Needed precise video object tracking and activity classification for a real-time security monitoring system, but in-house staff lacked the bandwidth.
- Solution by GetAnnotator: It provided trained remote teams capable of frame-by-frame annotation and event tagging while maintaining data confidentiality.
The Challenge
A fast-growing surveillance AI company needed high-precision frame-by-frame object tracking and activity classification for 500+ hours of HD security footage.
Their in-house staff was already stretched thin and lacked the capacity to meet the tight deadline. They needed a reliable, secure, and scalable solution without hiring full-time staff.
Solution by GetAnnotator
GetAnnotator isn’t just an outsourcing service — it’s a platform that connects AI companies to vetted, trained remote annotators.
For this project, the platform matched the client with a dedicated team of security-trained video annotators who:
- Used frame-by-frame annotation for precise object movement tracking
- Tagged complex events like trespassing, loitering, and unattended packages
- Worked within NDA-protected, secure cloud environments to maintain confidentiality
- Delivered 99%+ accuracy through multi-stage quality checks
- Leveraged parallel processing workflows to speed up output
Results
| Metric | Before GetAnnotator | After GetAnnotator | Improvement |
|---|---|---|---|
| Annotated Video Hours | 300 hrs | 500 hrs | +65% |
| Model Detection Accuracy | 82% | 94% | +12 points |
| Security Incident Review Time | 4 hrs/event | 2 hrs/event | -50% |
Key Outcomes:
- Annotated 500 hours of HD video in just 6 weeks
- Boosted model accuracy from 82% to 94%
- Cut incident review time in half
- Allowed the client to launch their AI monitoring feature two months earlier than planned
The GetAnnotator’s Platform Advantage
By using GetAnnotator’s remote annotation platform, the client avoided the cost and delay of building an internal team. They gained:
- Scalability — easily ramping up annotator capacity as needed
- Expertise — matching with professionals experienced in surveillance footage labeling
- Speed — parallel workflows cutting delivery time drastically
- Security — NDA-backed, encrypted data handling throughout the project
Conclusion
GetAnnotator’s platform model made it possible to deliver high-quality video annotations faster, cheaper, and more securely than traditional in-house approaches.
For AI companies that need ready-to-go annotation talent, GetAnnotator is not just a vendor — it’s the fastest way to turn raw data into AI-ready datasets without expanding your payroll.
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Frequently Asked Questions
Q1. How did GetAnnotator boost video annotation output by 65% in just 6 weeks?
By combining automation-assisted tools with a skilled annotation workforce, we optimized workflows and cut down processing bottlenecks.
Q2. Can the same results be applied to other industries beyond surveillance AI?
Yes. Our methods scale across domains like retail, autonomous driving, medical imaging, and smart cities.
Q3. What annotation challenges did the surveillance AI company face before GetAnnotator stepped in?
They struggled with slow turnaround times and inconsistent quality at scale. Our tailored solution solved both issues simultaneously.
Q4. How does GetAnnotator ensure high accuracy with faster annotation?
We use human-in-the-loop quality checks, layered reviews, and automation to balance speed with accuracy.
Q5. Can my company achieve similar efficiency gains with GetAnnotator?
Yes. Whether you need higher throughput, faster turnaround, or better quality, our solutions are customized to your goals.
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