Your cameras become business sensors.
EdgeWork turns a video feed into directly usable information: presence, passage, anomaly, alert and management indicators. Analysis happens as close as possible to the site to react quickly, limit unnecessary transfers and keep better control over data.
Camera feed analyzed by AI
Camera in Chicago · YOLO detection · Processing on Jetson Orin Nano
The feed may be temporarily unavailable during maintenance or a model update.
Jetson Orin Nano: the mini-computer that analyzes video on site.
A Jetson Orin Nano is a compact computer designed by NVIDIA to run AI directly near cameras. It receives the video feed, runs the detection model and only sends back useful information: alert, count, event or indicator.
Small but specialized
It fits in a discreet enclosure, while embedding a chip optimized to analyze images in real time.
Less cloud dependency
Video can be processed locally, reducing transfers, latency and unnecessary data exposure.
Built for the field
It can sit near a camera, local network or machine to trigger a business action quickly.
A camera that understands what it observes.
The principle: the camera captures the scene, AI identifies important events, then EdgeWork turns them into alerts, counters or indicators your teams can use.
Edge computing
Instead of sending all video to a distant server or into the public cloud, a small machine placed near the site analyzes images locally. The result: faster, leaner and better controlled.
YOLO
YOLO (Ultralytics) is a vision model that detects elements in an image: person, vehicle, package, occupied area, missing object, unusual situation, etc...
Business interface
The output must remain readable: what is happening, where, since when, with what priority level and which action to launch.
What this changes for your organization.
A standard camera produces images. A camera augmented by EdgeWork produces faster decisions, better-qualified alerts and useful data to manage operations.
Less passive monitoring
Teams no longer stay in front of screens waiting for an event.
More actionable alerts
A notification can be sent only when a useful situation is detected.
Usable indicators
Counting, presence time, passage frequency or occupancy become measurable.
Progressive rollout
Start with one feed or one area, then industrialize if ROI is confirmed.
Applications business teams can understand.
The solution is relevant whenever a visual event must be detected, counted or reported quickly.
Detect presence in a restricted area
Count vehicles, packages, passages or queues
Alert when a dock, machine or access point is occupied
Identify an object that is missing, moved or left behind
Monitor activity without unnecessarily exposing the whole video
Feed a supervision dashboard or an automated report
A short project framed by business value.
We start from the field and the expected ROI, not from the AI model. The objective is to quickly prove whether detection is reliable, useful and integrable into your tools.
01
Frame the case
Which event is worth detecting? What action should follow?
02
Test on real images
We validate feasibility with your feeds, camera angles and constraints.
03
Connect alerts
Email, dashboard, API, business tool or report: detection must trigger an action.
04
Industrialize leanly
Progressive deployment, supervision, maintenance and continuous model improvement.
Do you have a camera, area or feed to make intelligent?
EdgeWork helps you identify truly useful cases, build a fast prototype and turn video into alerts or indicators your teams can use.