Monitor everything
all the time
Monitoring thousands of cameras all at once is impossible without augmenting the intelligence of safety and security personnel. It requires a system that doesn’t sleep, gets tired or takes breaks. It doesn’t replace human security, rather, it takes over the mundane portions of security tasks, and helps improve the accuracy of monitoring. Robovision AI makes the human in the loop stronger, to improve response times in emergency situations.
Why leading Smart Cities choose Robovision
Accessible
We have built our platform from the ground up to be accessible for security professionals. From retraining algorithms to fine-tuning accuracy, to deploying use-cases on streams, let us show you how simple machine vision AI can be.
Adaptable
Our platform comes loaded with intuitive tools that allow for fine-tuning algorithms to improve accuracy to training new ones for new behavior or situations. Break the chains of dependency on (software) updates from legacy solution providers and enable your business with powerful AI capabilities.
Scalable
Scaling your security operation through AI is the future. With our platform it becomes easy to scale intelligence across oodles of camera-streams and locations. We employ the latest techniques and partner with industry leaders in the world of machine vision and artificial intelligence for the new age of safety and security operations

One pipeline - many use cases
(Average) speed detection
Measure the speed of individual vehicles as well as average speed of all traffic
Vehicle classification
Measure the speed of individual vehicles as well as average speed of all traffic
Wrong way detection
Get alerted when a driver is driving against the flow of traffic while it is happening
Traffic Jam Detection
Get alerted when a driver is driving against the flow of traffic while it is happening
Vehicle counting
Accurately count vehicles to start understanding traffic trends and possible bottlenecks in your road network
Incident detection
Accurately count vehicles to start understanding traffic trends and possible bottlenecks in your road network
Want to discuss your Deep Learning case? talk to our team
What can we detect?
Not only taking into account current pose and static patterns, but also how a person’s pose evolves over a certain time frame can describe their behavior and possible dangerous or illegal behavior
While it could be possible that the detection of an object can be both normal and abnormal, it would be possible to differentiate between both scenarios by taking into account how the object is used. For an AI there is little difference between a crowbar and a walking stick, how that object is used is what matters.
Pose detection uses an approach that detects key points (head, shoulders, joints …) of a human. These keypoints are correlated with each other to form a sticky like figure (simplified representation of a human figure). The behavior of a person can therefore be modeled as the way that this sticky figure moves and how its key points move/position with respect to each other.
By modeling normal behavior of which far more data is available we verify if observed behavior can be described by this model. In case it can not, it will be classified as abnormal behavior. In many cases there is limited availability of abnormal behavior compared to normal operations. Therefore it can be hard to model all possible scenarios and build something conclusive.

False positives are a major headache and waste resources. The technology of yesterday does not have the capability to learn from it’s mistakes. With Robovision AI, we save the recordings and use it to RETRAIN your AI to avoid it making the same mistake again.
Planes, trains, streets or stores, we apply the above techniques to all. There is no difference for us in detecting dangerous situations on an oil rig or in a bank. We work with our customers and partners to transfer their domain expertise to AI.
Easily Deploy AI use-cases
AI Store
The Robovision AI store is the place to find new use-cases developed by us, our partners and even customers. It allows you to share your algorithms internally between your teams, departments and entities of your company. It can be configured to be both a private and a public environment.
Deploy anywhere
On premise, in the cloud or on the edge
