Aktid pionnier de l’autopilotage des centres de tri de déchets

Autopilot
A revolution in waste sorting center management
Thanks to Autopilot, Aktid offers a unique automated and intelligent control solution for waste sorting. By analyzing all the center’s data in real time, the system makes optimal decisions to maximize performance: throughput, availability, and purity.
Centralizing data for better decision-making
Autopilot continuously collects data from sensors, process equipment (PLCs, optical sorters, silos…), as well as from Aktid Smart Solutions® and third-party equipment (compressors, dust extraction systems, etc.).
This data is harmonized and automatically analyzed to provide a comprehensive and dynamic overview of the facility’s operation.
Real-time response powered by AI
Equipped with artificial intelligence algorithms, Autopilot automatically adjusts equipment settings to maintain target performance. It continuously identifies and corrects deviations related to input stream composition, throughput, or output purity.
The result: a more stable, higher-performing sorting center that relies less on human intervention.

Une innovation issue de la R&D Aktid
Depuis 2018, Aktid investit dans la recherche appliquée à l’automatisation des centres de tri. Autopilot est le fruit de ce programme de R&D, conçu pour anticiper les nouveaux défis liés à la gestion des déchets : augmentation des volumes, complexification des flux, exigences accrues de qualité.


Centralization and analysis of data collected from:
Aktid Smart Solutions
Process equipment
Third-party equipment (compressors, fire safety systems, dust extraction, etc.)

Automatic detection of variations in:
Incoming stream composition
Throughput
Density
Output line purity
Equipment failure

Real-time adjustment of each equipment’s settings to maximize sorting performance.
A technology that unlocks human potential
Autopilot is not meant to replace humans but to assist them. It frees operators from the most complex tasks, allowing them to focus on overall supervision, predictive maintenance, and managing teams and resources.
