Dhiyo Labs · Service 02 of 08
Computer vision
Cameras can do far more than record. We build vision systems that count, inspect, detect and alert in real time, using standard or IP cameras you may already have.
Computer vision
What we do
- 01
Visual inspection
Detection of defects, missing parts and labelling errors on production lines.
- 02
Counting and tracking
People, vehicles or items counted and tracked across zones and time.
- 03
Safety monitoring
Alerts for missing PPE, restricted-zone entry, smoke or unsafe behaviour.
- 04
Recognition
Number plates, text, gauges and markers read automatically from video.
- 05
Dataset creation
Image collection, labelling and augmentation to train accurate models.
- 06
Edge deployment
Models running on cameras or small edge devices for fast, private results.
Who it is for and what you receive
Ideal for
- Factories and warehouses
- Retail and public venues
- Construction and industrial sites
- Security and traffic teams
What you receive
- Camera and lighting recommendations
- Labelled dataset
- Trained model with accuracy report
- Live demo on your cameras
Technologies and standards
- OpenCV
- YOLO
- PyTorch
- TensorRT
- NVIDIA Jetson
- DeepStream
- ONVIF
- RTSP
- CVAT
- Label Studio
Works well with
One team across pillars
Dhiyo Systems installs and maintains the cameras and edge hardware at scale.
-
Security and surveillance
CCTV, access control, intrusion alarms and video management, integrated end to end.
View service -
IoT deployment
Sensors, gateways and controllers rolled out across sites, with central monitoring.
View service
Selected work
Work we are proud of
-
Sahyadri Manufacturing
Vision-based inspection on a production line
Cameras, edge AI and machine sensors now catch defects and warn of breakdowns before they stop the line.
- 91%
- of defects caught automatically
- 18%
- less unplanned downtime
- 6 weeks
- from pilot to production
A good way to start
AI Readiness Review
Your data, systems and ideas reviewed, with a ranked list of use cases worth testing.