NO-CODE COMPUTER VISION . EDGE DEPLOYEDAdd Machine Learning On Any Camera In Minutes.
CAR 0.97
TRUCK 0.52
VEHICLE 0.96
BUS 0.94
VAN 0.91
PERSON 0.93
TRAILER 0.90
MOTORCYCLE 0.88
CAR 0.97 TRUCK 0.52 VEHICLE 0.96 BUS 0.94 VAN 0.91 PERSON 0.93 TRAILER 0.90 MOTORCYCLE 0.88
How It Works
01
CONNECT YOUR VIDEO
Upload a recording or link a live feed. MAKRR works with the CCTV, RTSP and USB cameras — plus drones and robots — you already run.
Tag what you want it to recognise — people, defects, behaviours. Pick a priority, press one button. A deployable model in under a day. No code.
02
TRAIN YOUR AI
03
Push to the edge at the line. Monitor detections, get alerts, and export compliance reports — all from one dashboard, on-prem.
GET REAL-TIME INSIGHT
One dashboard. First label to deployed fleet.
Collect footage, annotate it, train a model, push it to edge devices — then watch detections, alerts and device health from the same screen.
Days
FOOTAGE TO DEPLOYED MODEL17
PRODUCTION MODEL ARCHITECTURES260Fps
UP TO . EDGE INFERENCE100%
ON-PREM . YOUR DATA STAYS YOURSCustomer Reviews
“We had the pleasure of partnering with the team for their first pilot program at our waste management facility in Tartu, Estonia.
The results were very informative - providing us with valuable waste data, including inflow, material composition, and waste item count among others.
We recommend their computer vision solution to anyone looking to enhance their waste management practices.”
“The system is capable of capturing visual data and interpreting it, similar to what a human does.
By taking advantage of computer vision, we have the opportunity to optimize sorting processes, as well as improve work efficiency and accuracy, as this program provides recommendations so that human resources are used more effectively.
Namely, the morphology data provides an accurate insight into what kind and how much waste was in the sorting line each day, so we are able to determine the optimal number of employees needed and placement at these lines."
If a trained member of staff can see it, the system can learn it.
THE WORKING RULE . MAKRR