What new changes will AI large models bring to smart cities?

Recently, at the 16th (2023) China International Social Public Safety Products Expo, SenseTime shared the application of AI large models in smart cities - not only to effectively solve traffic, public safety, etc.Diversified urban management problemswill bring new paths, and will also effectively lower the application threshold,build a new generation of AI infrastructurefor the development of smart cities.

SenseTime Exhibition Area

Get rid of inefficiency. Big models empower a new paradigm of urban management

As AI technology continues to penetrate into the "nerve endings" of cities, scene requirements are rising exponentially, scene distribution is becoming increasingly fragmented, and the development of algorithm models faces huge challenges.

In addition, the complex interaction logic of management software also requires a mix of talents with professional skills, and the difficulty of using it has become increasingly prominent.

At this China Security Expo, facing the demand for urban digital upgrading, SenseTime focused on explaining the construction of urban digital transformation infrastructure relying on AI large models,creating a new paradigm of "AI unified management through one network" urban governance: targeting from the past The inefficient mode of customizing models for different scenarios has been transformed into an efficient development mode of "directional fine-tuning of the base model".

Based on the basic model, developers only need to provide specific scenario data to quickly produce industry models with excellent performance, just like an "all-round generalist" to meet the emerging needs of complex long-tail applications.

Business model changes brought about by big models

Future large-scale software will transform from traditional menu-based professional software to multi-modal conversational interaction based on text, voice, pictures, etc. to change the form of software. As an "intelligent assistant" who is proficient in business, AI can directly provide analysis results through users' questions, thereby lowering the application threshold.

Taking the traffic scene as an example, managers can easily learn the congestion situation at a certain intersection through a simple inquiry dialogue, and obtain detailed information such as time and traffic flow; the large model also has the ability to quickly learn dynamically changing information The ability, such as the latest parking restrictions on parking spaces, accurately determine which models are allowed to park, which are not allowed, and other similar issues.

SenseTime AI Signal Traffic Application

Intelligent edge products quickly iterate and collaborate efficiently

As an important part of smart city construction, the intelligence of edge devices will also benefit from the new production paradigm brought by large models, realize efficient OTA updates of software algorithms, and improve refined management capabilities in multiple scenarios.

SenseTime demonstrated theSenseNebula AIE smart edge box at this conference, which integrates analytical capabilities, software and hardware with multiple algorithms such as fireworks, fire escape occupancy, non-motor vehicle intrusion, and fire extinguisher detection. The integrated design brings powerful cloud-edge collaboration capabilities to smart parks and smart buildings.

Nebula AIE Intelligent Edge Box

It is worth mentioning that SenseNebula Nebula AIE Longteng A stood out among hundreds of products and won the highest award of this conference -Major Industry Innovation Contribution Award.

Shangtang Nebula Pass intelligent all-in-one pass machinealso appeared in full series, which can bring a senseless passing experience in various complex light environments, "safe and worry-free, convenient and smooth", becoming a park, The popular patron saint of enterprises, venues, hotels, campuses and other places.

SenseTime Nebula Pass Series Products

For industrial production, SenseTime also demonstrated the Star Selection Safety Production Information System, which provides risk identification, abnormal behavior warning and other functions in chemical industry, metallurgy, coal mines, transportation, textiles, machinery and other scenarios to ensure production safety. .

SenseTime will deeply practice the application of AI large models in the field of urban management and continuously improve the edge product matrix to make AI handle complex problems more efficiently and provide a simpler user experience.

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