AI & Agentic AI

Computer vision for inspection, safety and physical operations

Detection, classification, measurement and monitoring — on production lines, in facilities, and in the field.

Assess a vision use case Talk to an expert

Robotic gripper picking up a small blue component

Computer vision is the most mature branch of applied AI, and in physical operations it is often the fastest to demonstrate value. The engineering challenge is rarely the model — it is lighting, camera placement, class imbalance, drift as products change, and the cost of a false negative.

We scope vision work around that reality, starting with a feasibility assessment on your own images before any commitment to a full build. Where a sufficient labelled dataset does not yet exist, establishing one is treated as part of the project rather than an assumption.

Deployment target shapes the design. Edge inference for latency, bandwidth and privacy; cloud where throughput and model size dominate.

What you get

Consistent inspection independent of shift or fatigue
Issues caught earlier in the process
An objective, reviewable visual record

What's included

Feasibility assessment

A short evaluation on your real images to establish whether the task is achievable before you commit.

Visual inspection and defect detection

Identifying faults, deviations and quality issues on line or at goods-in.

Detection, counting and tracking

Locating and following objects, people or vehicles across frames for operational visibility.

Safety and compliance monitoring

Detecting protective equipment, restricted-zone entry and unsafe conditions.

Visual OCR

Reading labels, plates, serials and gauges in uncontrolled real-world conditions.

Edge and cloud deployment

Containerised inference sized for on-site hardware or cloud GPUs, with drift monitoring.

Where this applies

Manual visual checks that are slow, inconsistent or fatiguing
Defects found by the customer rather than at inspection
Sites needing safety compliance evidence without constant supervision
Counting or measurement currently done by hand

Technologies

OpenCV
PyTorch
TensorFlow
Docker
Kubernetes
AWS
Azure
Python

Selected work

Timber & Forestry

TimberVision

CNN-based timber classification

Australia

Related capabilities

Ready to talk about Computer Vision?

Tell us about the process or problem, and we'll tell you plainly whether this is the right starting point.

Assess a vision use case See our methodology

Or reach us directly at info@ontogenesistechnologies.com · +91-9999101853