UPCOMING WEBINAR → Computer vision adoption in unionized workplaces MAY 22ND | REGISTER NOW →
Industrial Monitoring · Enterprise

AI for factories,
warehouses, and
inspection workflows.

Computer vision for safety, defect detection, and process automation across industrial sites — running on edge devices for sub-100ms inference.

Industrial Monitoring platform dashboard: live factory floor tracking with defect detection, safety scores, uptime metrics, and throughput analytics
99.2%
Uptime
14
Defects Detected
96%
Safety Score
4,820/hr
Throughput
SwiftVision AI https://swiftvision.ai/wp-content/uploads/logo.png https://twitter.com/swiftvisionai https://www.linkedin.com/company/swiftvision-ai
Capabilities

Every feature your operation needs.

PPE & worker safety monitoring
Automated visual inspection
Restricted-zone & machine guarding
Edge inference on NVIDIA Jetson
Defect detection on production lines
Process and throughput analytics
Forklift & traffic flow analytics
MES & PLC integration
Dashboard

An enterprise UI built for daily operations.

Live floor monitoring with PPE detection, defect counts, uptime, throughput, and safety scoring.

Industrial Monitoring enterprise dashboard showing live factory floor tracking, defect detection, safety scores, uptime and throughput analytics

Use Cases

Where teams deploy this in production.

Manufacturing

Catch defects upstream and reduce rework.

Warehousing

Forklift and pedestrian safety analytics.

Heavy Industry

Compliance monitoring across hazardous environments.

Demos

See the system live.

Tennis
3:11

Tennis Match Analysis

Padel
2:18

Padel Player Tracking

Basketball
2:42

Basketball Shot Charts

Soccer
3:02

Soccer Event Detection

Cricket
1:55

Cricket Highlight Clipping

Volleyball
2:34

Volleyball Rally Stats

×
Case Studies

Outcomes from real customers.

-62%
defect escape

Plant cut defect escape 62%

Problem • Manual inspection missed downstream defects.

Result • AI inline inspection catches defects before packaging.

96
safety score

Warehouse improved safety score

Problem • Forklift-pedestrian incidents trending up.

Result • Vision alerts on near-miss zones in real time.

14
plants live

Edge AI rolled to 14 plants

Problem • Cloud-only latency was too high.

Result • Jetson-based edge inference under 80ms on every line.

All case studies →

Deploy Enterprise AI Systems Built For Real-World Operations

Discuss your AI deployment goals with our team and explore scalable AI infrastructure designed for enterprise growth, automation, and operational excellence.