26 Mar
This is the fifth blog post for TrackMatriX’s AI Learning and Awareness series.
Human demand for wood and arable land is affecting the rainforest ecosystem. While organizations and ecologists are trying to find new ways to protect rainforests, TrackMatriX is developing new AI-backed technologies that protect rainforests by combating illegal wood transport.
Read this use case on how TrackMatriX has designed an AI solution for protecting the rainforests and contributing to ecological protection, saving rainforests and wildlife.
Background
An organization concerned about the rampant issue of illegal logging in the rainforest approached TrackMatriX to develop an effective solution. TrackMatriX responded by creating an AI-enabled SaaS platform designed to combat illegal wood transport.
Problem
Illegal loggers exploit the rainforest by transporting large quantities of precious wood using trucks, posing a significant threat to the ecosystem.
Solution
TrackMatriX proposed a public-private partnership with the local government to pre-finance a comprehensive system that monitors and regulates wood transport. The key components of the solution include:
1. Specialized RFID-enabled Windscreen Stickers
Wood log trucking companies must attach tamper-evident, cyber-secured RFID-enabled stickers on each truck’s windshield.
2. Smartphone App Integration
Truck drivers are required to download a smartphone app to establish three crucial links:
- Trucking company with the truck driver
- Truck driver with the truck license plate
- Truck license plate ID with the RFID windshield sticker
3. Permission Purchase
Before initiating the transport of protected wood, truck drivers must purchase time-limited permissions for pre-registered lots of wood. Options include 24, 48, or 72-hour permits.
4. AI-enabled Monitoring
AI-enabled inspection apps, devices, and cameras on highway overhead bridges are employed by the police and environmental organizations to monitor active permissions for trucks transporting precious wood.
5. Penalties for Violations
If a truck is found without valid permission, the trucking company’s driver incurs penalties. For example, a truck has permission to cut 50 wood logs, but the AI-enabled system detects 150 wood logs in that truck. The system will alert the authority of this violation and the truck driver will get penalties.
The Result
The project is structured to benefit all stakeholders involved.
1. Funding Organization’s Win
The private organization financing the project recovers investments through payments made by truckers for permissions, ensuring a sustainable and self-supporting model.
2. Government’s Win
The government generates revenue from a percentage of the payments made by truckers and penalties collected. It also controls the project by approving necessary regulations and laws for truck companies to follow.
3. Rainforest Protection
The rainforest benefits from strengthened control over illegal logging, preserving precious wood and fragile ecosystems. The TrackMatriX system contributes to environmental conservation and sustainability.
Conclusion
TrackMatriX’s AI-backed system establishes a robust and collaborative approach involving technology, government, and private entities to address the critical issue of illegal logging by developing the latest AI-enabled solutions to protect the rainforest.
If you want TrackMatriX to develop an AI system for your business, consult us now!
