LitterSnap

LitterSnap

E80-A

#Anomaly #Detection #Mapping #Incivilites #Littering #Hazards

about us :

LitterSnap® is the commercial trademark of Altabai, a French company based in Marseille and founded in 2023.

LitterSnap offers the 1st real-time database to map hazards and incivilities such as littering, abandoned waste and other disorders. The technology analyzes images from cameras, detects anomalies, and locate them within 0.1-meter accuracy. In order to maximize the covered area, the system can use a variety of fixed and mobile cameras (CCTV, solar camera easy-to-move, drone, smartphone, dashcam) and integrate cameras already in place to offer extra coverage at no extra cost.

The services are targeted at sectors such as law enforcement, waste disposal, industrial site maintenance, private or public area cleaning, and waste collection. They are suitable to permanent occupation as well as temporary occupation like events for instance.

Altabai S.A.S. is specialized in conceiving, developing and commercializing custom-made high-performing solutions in the domain of data acquisition, data analysis and data visualization. Its core competencies are to select the best strategy and design superior algorithms avoiding as much as possible laborious deep learning, relying on the significant experience of its renowned experts in signal processing, computer vision and AI.

The anomalies are detected, classified, and positioned by processing images, which may come from different types of cameras (fixed, embedded, smart phone, drone).

Geolocated data is displayed on a map with interactive functionalities (zoom in/out, clustering, 1-click PiP).

Data may also be processed according to specific KPI or custom metric, allowing for instance the client to get real-time alarms, to observe anomaly spatial scattering, and to control trends over time.

CONTACT US

Luc HAUMONTÉPresident
E-mail : contact@littersnap.com
Tél. : +33 (0)7 86 52 95 62

Hotel Technoptic, 2 rue Marc Donadille – 13013 Marseille- France

Website : LitterSnap