# Our Technology | Computer Vision for Brand Detection

> Proprietary computer-vision models trained on millions of sports frames, detecting and valuing brand assets across every screen and surface.

Source: https://camaleonicanalytics.com/technology

---

/CORE TECHNOLOGY / SYSTEM OVERVIEW

# Built to see. Trained to _value_.

AI-powered technology that detects, measures, and values brand exposure across TV, digital, social, and onsite channels, transforming raw content into precise, verifiable insights.

PIPELINE
ACTIVE

INPUTS
TV / SOCIAL / PRESS / ONSITE

MODE
REAL-TIME / POST-EVENT

OUTPUT
VERIFIABLE INSIGHT

Pipeline / Active
06 Stages / End-to-End
Fully automated

01

### Ingest

TV / SOCIAL / PRESS / ONSITE

TV

SOCIAL

PRESS

ONSITE

02

### Detect

CLASSIFY / IDENTIFY / VERIFY

LOCK 0.97

03

### Quantify

DURATION / SIZE / CLARITY

DUR
4.2s

SIZE
38%

CLR
0.91

04

### Value

CPM / CPE / AUDIENCE

EMV / EVENT
€1.24M
CPM 8.40 — CPE 0.12

05

### Store

STRUCTURED DATASETS

ROWS 12,480 / COLS 32

06

### Visualize

DASHBOARDS / TIMELINES

≤60
Frames analyzed / second

15+
KPIs per detection

8
Score variables blended

6
Ecosystems covered

01

01
/
AI Frame-by-Frame Detection

## Intelligence that sees what audiences see, every _1/60th_ of a second.

Our computer vision models analyze each frame with millisecond accuracy, detecting:

CL-01
Logs
→

CL-02
Brands & Teams placement
→

CL-03
Objects and assets
→

CL-04
Environments & Scenes
→

Detection runs in real time or post-event, enabling full flexibility for live coverage or historical analysis.

15+ KPIs are generated for every detection, including exposure time, screen area, clarity, instances, zone quality, and more.

Every frame becomes structured data. Every appearance becomes measurable.

![Football match frame under AI analysis, with jersey sponsor and perimeter board detected](https://camaleonicanalytics.com/images/tech-frame-analysis.webp)

Logo 0.98

Board 0.95

Asset 0.91

Real-time / post-event
15+ KPIs / detection

Frame analysis: live

02

02
/
The Camaleonic Score

## A unified metric to compare brand _impact_ across any event, feed, or channel.

Our proprietary algorithm blends 8 core visual and contextual variables, measuring both the quality and quantity of exposure to generate a single, comparable impact score.

Variable
Weight

V01
Exposure duration
DURATION
.18
V02
On-screen size
SIZE
.16
V03
Visual clarity
CLARITY
.14
V04
Audience reach
AUDIENCE
.14
V05
Screen position
POSITION
.12
V06
Context quality
CONTEXT
.10
V07
Platform weight
PLATFORM
.08
V08
Brand recall
RECALL
.08

Σ CHECKSUM
1.00

Weight ledger: live

Hover or focus a variable to isolate its share of the score.

A synthetic score that captures true visibility quality, not just raw exposure.

Sample output
CSCORE.V2

87.4/ 100

Quality × quantity of exposure
Σ 1.00

Σ ( VARIABLE × WEIGHT ) → SCORE 0–100

Camaleonic Score: demo

03

03
/
Multichannel Processing Pipeline

## From ingest to insight, engineered for _scale_.

A fully automated pipeline designed for high-volume global events.

01

### Ingest

Multiple sources simultaneously: TV & livestream feeds, social media content, digital press & clipping, onsite data.

→

02

### Detect

AI models classify, identify, and verify brands, mentions, context, and visual attributes.

→

03

### Quantify

Precise measurement of duration, clarity, position, size, frequency, and visual quality.

→

04

### Value

Economic models combine CPM/CPE, TV spot valuations, audience data, and cross-feed weighting.

→

05

### Store

Clean, structured datasets ready for dashboards, APIs, and exporting.

→

06

### Visualize

Dynamic dashboards show multi-feed results, timelines, heatmaps, and impact comparisons.

→

/A complete data engine: from acquisition to decision-making

04

04
/
Real-Time Global Coverage

## Multi-feed analysis for _multi-market_ sponsorship.

Camaleonic processes broadcast feeds from multiple countries simultaneously, revealing:

F-01

### How each market displays the brand

Compare visibility across different regional broadcasts

→

F-02

### Differences in exposure time and size

Measure variations in brand prominence per feed

→

F-03

### Regional broadcast variations

Identify unique content decisions by each broadcaster

→

F-04

### Asset performance per territory

Track which assets work best in each market

→

F-05

### Digital & Virtual detection

Capture both physical and digitally-inserted branding

→

Your visibility is not _local_, neither is our analysis.

05

05
/
Cross-Platform Intelligence

## One technology. _Six_ ecosystems.

Total sponsorship visibility.

Detection services / 06
Output rail / 03

TV
TV Analytics
132
FEEDS

SM
Social Media
845
POSTS/MIN

PR
Press
1,240
ART/DAY

ON
Onsite
64
CAMERAS

VN
Venue
18
VENUES

LS
Listening
2,150
MENT/HR

Core engine

CORE

1,840

DET/S · Merged throughput

MODELS
14

LATENCY
0.04S

UPTIME
99.98%

Output rail / 03

Verified value
OUT-01

Reports
OUT-02

API
OUT-03

FIG.01 / LIVE

FIG.01 — One core engine, six detection services
06 IN → 01 CORE → 03 OUT

SYS-01

### TV Analytics

Frame-by-frame detection, multi-feed broadcasts, and audience-weighted valuation.

SYS-02

### Social Media Analytics

AI detection in images, videos, text, and audio. Influence mapping. Fan reaction analysis.

SYS-03

### Digital Press & Clipping

Automated OTS, media valuation, sentiment layers.

SYS-04

### Onsite Analytics

Event asset visibility: signage, fan zones, hospitality, vehicles, objects, uniforms.

SYS-05

### Web & App Visibility

Brand placement analysis: dimensions, duration, CPM-driven value.

SYS-06

### Fan Insight & Surveys

Media data and surveys to understand who the fans are. Identify fan profiles, behaviors, interests, and perceptions to better connect sponsors, events, and brands with their audiences.

/A unified intelligence layer across all channels

06

06
/
Transparency & Auditability

## Every detection can be verified. Every insight has _proof_.

PR-01
Evidence frames

PR-02
Proof images

PR-03
Optional video overlays

PR-04
Detection Brands, Assets, Teams

PR-05
Full audit trails

PR-06
Scene detection

![Packed football stadium at night seen from the stands, sponsor boards circling the floodlit pitch](https://camaleonicanalytics.com/images/tech-philosophy-stadium.webp)

/Our philosophy

AI you can trust.
Data you can
verify.

Frame source: live stadium broadcast

07

07
/
Built for Scale

## High-volume events. Global broadcasts. _Millions_ of frames.

Our system scales automatically to process multi-day events, full seasons, and parallel competitions without latency.

Multi-day events

Full seasons

Parallel competitions

No added latency

Your analysis grows with your _ambitions_.

/See it running

## See the technology _in action_.

Experience real-time sponsor detection and multi-feed analysis across global events.

[Request Demo →](https://camaleonicanalytics.com/request-demo)
