Analyze and count with Deep Learning
Deep Learning is a revolutionary technique allowing in particular to train computer system with shape recognition. Then, the machine is endowed with artificial intelligence and shows the capacity to recognize objects like the human eye. PixAlarm proposes this technology to assure a wide range of scene analysis functions. Furthermore it is possible to use it on moving cameras, allowing to embark this function on vehicles.
Whether it is for people, vehicles or other type of objects, the object research is capable of spotting clearly what is present in the scene and then indicate their number. The video can be divided into zones of interest which will have their independent counter. This information can be afterward used in scenarios or be exported to generate statistics.
In this mode, by means of lines of crossing positioned on the image, Pixalarm allows to count desired objects (human beings, vehicles, etc.). The line can also be directional to count what passes in a particular direction. Pixalarm proposes a graphical interface dedicated to the passage counter which allows to visualize in real time the counter evolution.
For particular needs, Deep-Learning network can be spread to every types of objects or shape.
For your specific needs, please contact us.