04 — Impact / Case Studies

Quantifiable outcomes, not logo walls.

We format our client references deeply rather than broadly — the challenge, the module, and the measurable result.

0.0%

Detection Accuracy

< 0 Weeks

Deployment & Fine-tuning

0x

Reduction in Safety Auditing Costs

Manufacturing Client

Automating PPE & Hazard Detection in Heavy Manufacturing

Background & Challenge

A multi-plant manufacturer relied on periodic manual safety walk-throughs, which caught only a fraction of real PPE and exclusion-zone violations across three high-traffic plant zones.

The Solution — BMS Tech Vision AI Platform

BMS Tech.ai's HSE Vision AI module was deployed directly on the plant's existing CCTV feeds, continuously monitoring for PPE compliance, exclusion zone breaches, and slip/fall risk — with real-time alerts routed to floor supervisors.

Key Metrics
84%

Reduction in PPE non-compliance across 3 plant zones in 30 days

0

New camera hardware purchased

14 days

From kickoff to live pilot

Industrial Operations

Zero-Defect Vision Inspection for Industrial Operations

Background & Challenge

Manual QA sampling covered only a portion of production output, allowing intermittent surface and assembly defects to reach downstream stages undetected.

The Solution — BMS Tech Vision AI Platform

Our Quality Inspection module was tuned to the client's specific lighting and camera angles, running automated visual inspection on 100% of units in real time, with anomalies flagged instantly for line operators.

Key Metrics
99.2%

Automated defect identification accuracy

5x

Faster QA throughput vs. manual auditing

100%

Of units inspected, not sampled

03 — What We’d Build Next

Quality Inspection for Precision Molded & Composite Parts

Proposed engagement — not yet deployed
The Defect Taxonomy

Manufacturers producing precision molded and composite components — for aerospace, automotive, and healthcare-grade applications — deal with a consistent set of visual defects that manual inspection catches inconsistently, especially at speed and across shifts:

Flow linesWeld linesShort shotAir pocketsDelaminationWarpingBurn marksFlashJettingDiscoloration

Our Quality Inspection module is built to recognize this exact taxonomy on every unit, at line speed — using the same automated visual-inspection approach already running in production at 99.2% defect identification accuracy and 5x faster QA throughput than manual auditing. The screens below are illustrative of the interface a deployment like this would use.

LIVE · CAM-02 · MOLD-14
Illustrative UI
FLOW LINES · MINOR
WELD LINE · PASS
SHORT SHOT · REJECT
FLASH · REJECT
Model: bms-vision-qc-molding-v14 defect classes tracked
Batch Report · Shift 21,204 units inspected
Flow Lines
2
Weld Lines
0
Short Shot
1
Air Pockets
0
Delamination
0
Warping
1
Burn Marks
0
Flash
3
Jetting
0
Discoloration
0
Overall yield99.5% pass
Structured 14-Day Proof-of-Concept

Request your 14-Day Pilot.

We run a structured pilot using 2–4 of your existing camera streams — no procurement, no rip-and-replace, no risk. See your own data before you commit.