StallerStack
AI Solution

AI-Based Video Analysis

We build video analytics pipelines that extract structured insight from recorded or live footage — occupancy counts, safety compliance, incident detection — turning hours of video into searchable, actionable data.

Time-lapse photography of light trails

Real-Time

Avg. Processing Speed

6-10 wks

Typical Engagement

Safety, Occupancy, Incidents

Use Cases Supported

Included

Searchable Event Index

What's Included

Video analysis pipeline for the target use case

Structured event index (searchable by type, time, location)

Dashboard with video playback context

How We Work

01

Footage Audit

We review sample footage to understand camera coverage, quality, and target insights.

02

Model Training

We train or fine-tune models for the specific events or metrics you need extracted.

03

Pipeline Build

We build the pipeline processing live or archived footage into structured events.

04

Dashboard & Search

We deliver a dashboard where events are searchable and reviewable with video context.

What You'll Receive

  • Video analysis pipeline for the target use case
  • Structured event index (searchable by type, time, location)
  • Dashboard with video playback context
  • Accuracy benchmark report
  • Deployment documentation for your camera infrastructure

How Engagements Typically Work

Every project starts with scoping — here's the shape most engagements for this service take.

01

Proof of Concept

A 2-3 week sprint analyzing sample footage to validate detection accuracy.

02

Production Build

Full pipeline and dashboard build — typically 6-10 weeks.

03

Ongoing Retraining

Monthly retainer to expand detected event types or retrain for new camera setups.

Technologies We Use

The tools and platforms our AI-Based Video Analysis team works in day to day.

Vision

PyTorch
TensorFlow
ONNX

Infra

Elasticsearch
Docker
AWS

Frequently Asked Questions

Yes — batch processing of archived video is common, particularly for incident investigation use cases.

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