Research on numbers and competitors
marios-stam opened this issue · 2 comments
marios-stam commented
Research on numbers and competitors
frank20a commented
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 commented
Make it a 2-3 page Powerpoint presentation