Computer vision
Detection, tracking, recognition and OCR — running on your hardware.
Six to twenty weeks.
Build a computer vision system
Feasibility on your actual footage first — the honest answer is sometimes no. Then model selection and training on your data, a pipeline that holds frame rate on the hardware you have, thresholds tuned to what a miss actually costs, and a human review queue for the ambiguous cases.
The problem
You need to detect, count, read, track or identify something on camera, and the off-the-shelf products either do not fit or want your footage in their cloud.
How we approach it
Feasibility on your actual footage first — the honest answer is sometimes no. Then model selection and training on your data, a pipeline that holds frame rate on the hardware you have, thresholds tuned to what a miss actually costs, and a human review queue for the ambiguous cases.
What changes
A system running on your own hardware with no frames leaving site, and a measured false-positive and false-negative rate on your footage rather than a vendor claim.
The service this falls under
AI and machine learning
Training, fine-tuning, retrieval, agents — and knowing when not to.
Four to sixteen weeks.
Industries where this comes up
Security and defence technology
Vulnerability scanning that runs offline, cyber ranges, bot and abuse defence, and vision systems for sites where footage cannot leave the premises.
Last reviewed · Site changelog