Research on numbers and competitors

[frank20a]

Competitors

Sensoneo

• Installed in 60 countries
• Optimal path calculation -> 30-60% reduction in collection routes, 97% accuracy
• Digitizing bin infrastructure w/ RFID tags (IDEA: Create app to add new bins to network using phone location services, camera, NFC and RFID/QR stickers)
• Ultrasound sensors for fullness
• IoT Connectivity: Sigfox, NB-IoT, LoRaWAN, GPRS
• Sensors: Fill level (Ultrasound), Fire (temp, gas), Location (GPS), Tilt (3-DOF accel), Communication (BLE, LoRa, NFC/RFID, GPRS, Sigfox, NB-IoT, GSM)
• Analytics & Statistics

Waste Management System Using IoT-Based Machine Learning in University

Paper published by Hindawi. Management system established in Vietnam.

• Sensor -> LoRa -> Cloud <- Firebase API
• Ultrasonic sensors for fill level
• Solar power
• Optimal path calculation (Dijkstra)
• Logistical regression -> fill level prediction

How Can Using IoT for 'Waste Management'​ be An Efficient Tool For Waste Collection?

Πάνω κάτω τα ίδια! Διαφορές:

• Weight sensors
• Reduce garbage collection cost by 50%+, reduce fleet maintenance cost, reduce fleet trips->no blocked roads
• Investment return within 12 months
• Actuators: Locking bins when full

[marios-stam]

Make it a 2-3 page Powerpoint presentation