Intel Vehicle Models (OpenVINO)
Intel models for vehicle video analytics: car, truck, bus, motorcycle, plus entry and exit logging and vehicles stopped too long. Filming vehicles and people is personal data processing: agree the procedure with a lawyer.
- Developer
- Intel, USA
- First release
- May 2026
- Latest release
- Sep 2026
- Sizes
- YOLO26 variants from nano to x
- License
- Commercial use allowedMIT
- Ready-made builds
- 8-bit
- Running
- On your own serverAlso runs without a GPU
- Industries
- Manufacturing and logistics, Security, Public sector, Retail and marketplaces
What it does
- Counting vehicles and splitting them by type
- Logging vehicle entry and exit
- Monitoring parking space occupancy
- Spotting vehicles that stay too long
Where it is used
Hardware requirements
Versions
- Обновление карточек моделей
- vehicle-stopped-too-long-detection
- vehicle-entry-exit-logging
- vehicle-detection на базе YOLO26
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.
Frequently asked questions
Can Intel Vehicle Models (OpenVINO) be used in a commercial project?
Yes. License: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does Intel Vehicle Models (OpenVINO) need?
At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does Intel Vehicle Models (OpenVINO) support Russian?
Language does not matter for this model: it does not work with text.
Where can I download Intel Vehicle Models (OpenVINO) and what does it cost?
The Intel Vehicle Models (OpenVINO) weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
A ready set of models for vehicle tasks: plate recognition, car color and type, counting entries and exits, spotting parking where it is not allowed. Filming vehicles and people is personal data processing: agree the procedure with a lawyer.
DetailsPlates and vehiclesBoxMOTMikel Brostrom (open project) · not disclosedCommercial use with conditionsA set of trackers: it links the same vehicle across frames and cameras, which is how flow and time on site are counted. Filming vehicles and people and storing the records is personal data processing: agree the procedure with a lawyer.
DetailsComputer visionYOLO (Ultralytics)Ultralytics · USACommercial use with conditionsThe most widely used real-time object detector: finds and marks items in video even on modest hardware. YOLOv5 came out back in 2020; the catalog starts from YOLOv8.
DetailsSource: huggingface.co/Intel/vehicle-detection. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


