In 2017 and among the 127 participating cities, the project of the Tunisian Association ATCOGEN (Tunisian Association of councils and digital geographical orientation) in collaboration with ENIT of the city of MARSA was chosen by the jury as the best example of intelligent container module called Clean Cap. The Clean CAP fill-level sensor can be mounted on any type of bin, container or reservoir. It optimizes waste collection planning, resulting in direct cost reductions, a healthier environment and cleaner cities. It reduces the frequency of waste collection in a significant way, saving fuel, manpower and Park maintenance costs. In total, the solution can reduce your operating costs by up to 80%. By using ultrasound, it allows to detect both solid materials such as (General waste, paper, glass, electronic waste, textiles etc) and liquids (oils, sludge, agricultural products etc.). Its range can cover a distance from 30 cm-to 400 cm (4 m/13 ft). Clean CAP transmits real-time information to the clean city networks (CCN) data monitoring and analysis platform through wireless data transmission using 2G/3G networks. The software allows customers to optimize their waste collection operations through data-based decision making. Clean CAP has been tested to go beyond the limits of its operation in conjunction with the battery life. Completely closed and protected against dust and water, it is equipped with a battery with autonomy up to 10 years and can operate in temperatures from-30 °c (-22 F) to 80 °c (176 F). Providing a dynamic path, the solution optimizes the paths and schedules of waste collection based on real-time chronological data and provides predictive analytics to enable the making of prior decisions and offers consultations on the allocation of garbage cans. It allows waste collection staff to be informed of real-time filling levels and to receive notifications of waste spills:  CCN generates an intelligent data group by processing various types of information from Clean CUBE and Clean CAP. By accessing information about the individual fill level, compaction history, battery capacity and more, users can track assigned containers in real time with ease. CCN calculates the shortcuts for each single collection and provides dynamic collection schedules using predictive algorithms. This allows users to make decisions based on data in advance. In addition, CCN sends notifications informing when and where collections are needed. It provides a historical overview of waste generation and overflow and collection performance. By identifying areas with very high waste generation and regular waste overflow incidents, users can concentrate their resources more efficiently. CCN recommends the optimal number of bins to install according to the data history. This feature allows users to synchronize regional fill patterns so that all garbage cans are filled approximately at the same time, which reduces collection paths. For more information contact: Larbi Ben Tili:  bentililarbi (at) gmail.com