The PoD is the foundation of the DisplayN economic model. Based on this mechanism, DisplayN has designed several scenarios to promote ecological growth so that ADS can play a more significant role in advertising. The ADS rewards are halved every two years, and the distribution is completed in 50 years.

DisplayN has three markets: NFT market, DeFi market and recycling market.

The NFT Market is where users can rent/lease, sell/buy their NFT Couch Pad. A simple filter and sort function are available in the NFT Market for easy navigation. DisplayN also has a rental system. Users can buy/sell NFT Couch Pad and game props on the in-app NFT Market. DisplayN offers an automated rental marketplace to lower the threshold for new display miners. Only hardworking couch pads can access the rental market. NFT holders must check their NFT, set a rental time and commission rate, and click submit. For display miners, each tablet will have a unique hardware identification number. The DisplayN credit system will generate the initial credit score of miners based on their unique identifiers. After renting a Couch Pad, miners' credit scores will increase by completing the corresponding display work. A credit score of miners is deducted if they do not complete display work. After the credit score falls below 0, miners will not be able to use our rental system. They are only allowed to enter solo mode. In solo mode, the credit score of miners will also increase. 

In DeFi market, the decentralized financial system is to solve the problem of the pledged expenditure of proof miners. It aims to reduce the cost of proof miners. Token owners can enter and submit, and proof miners can submit a security deposit and lend. To ensure the smooth operation of the proof network, each proof miner must pledge a certain number of tokens to guarantee the stability of the proof work, and penalty could be forfeited their security deposit if they are offline for more than 48 hours.

In the recycling market, users can sell the tablet for cash quickly and easily with the DisplayN tablet trade-in program. DisplayN buy back every generation of tablet ever released and will pay users top dollar even if your tablet is new, used, broken, water damaged, dead, or has a cracked screen.

The highlight is the distributed AI system of DisplayN, which has two parts; there are offline model training processes for distributed AI intelligence detection and distributed AI detection of ad effectiveness process. A pattern recognition - deep learning approach is used to detect video images. Firstly, the algorithm model training is performed offline. After the model training degree (accuracy, recall) meets the demand, it will be deployed in the cloud or AI camera. During the operation of the ad screen, the capture is performed and the image is analyzed in real-time to detect whether the ad is effectively displayed. Leilei W. (CTO of DisplayN) said, "We used 5,000 NVIDIA GeForce RTX 3080 graphics cards to train our AI models since 2017. We now have an AI accuracy rate of 96.9%. We will continue to train our AI models to keep approaching 100%."

Company：DisplayN

Contact Person:Martin Wu

Email:support@displayn.com

Website:www.displayn.com

Telephone:+1-9173257594

City：New York