computer vision for telecom and MEC AI

Computer Vision for Telecom and MEC

Computer Vision for Telecom and MEC

Telecommunication companies are using MEC (multi-access edge computing) and Chooch AI to offer computer vision as a service with millisecond response times to customers in private business, government, industry, and more. They’re providing these services to satisfy the ever-growing need for efficient, low-latency computer vision for 5G mobile and IoT use cases.

As 5G rollouts continue across the world, telecom companies are in the unique position to service the most advanced computer vision use cases – including PPE detection, facial identification, surveillance, retail inventory, safety monitoring, fire detection, fall detection, and more.

These use cases – which require high-speed, low-latency computing – are not possible with traditional centralized cloud computing alone. However, by leveraging the tremendous power, proximity, speed, and flexibility of near-edge MEC application servers, telecom firms can provide their customers with the following benefits of the Chooch visual AI platform:

  • Instant access to plug-and-play visual AI services
  • Prebuilt AI algorithms for the widest variety of use cases
  • Tools to train custom AI algorithms for unique scenarios
  • Lightning-speed, low-latency response times for large volume data files
  • Computer vision technology to serve the coming wave of 5G-enabled AI networks and devices


Computer Vision for Telecom and MEC


Telecom firms currently stand at the precise intersection of the coming wave of world-changing 5G and edge-AI technologies. By serving as the bridge that integrates it all, telecommunications companies provide the 5G connectivity that connects (1) the massive volume data being pulled from billions of IoT/smart devices and (2) the AI computing systems that interpret the data.

In addition to 5G connectivity, telecom companies have the capacity to resolve a serious problem that will hinder the full utilization of 5G for many use cases. This problem relates to the way traditional mobile and IoT apps rely on centralized cloud servers to process and analyze data.

Because 5G devices transmit massive quantities of data and large files, the delay of sending data long distances to a centralized cloud server can severely limit the performance of 5G apps. This is especially true for computer vision enabled apps that need to send large files and still deliver millisecond-speed response times.

To resolve this problem, telecommunication companies are bringing cloud computation to the network edge via MEC application servers. By physically installing MEC application servers at 5G transmission sites and towers, telecom companies can offer the following cloud server processing benefits to apps and devices:

Low-latency communication: Processing happens closer to the IoT and mobile devices that create the data. This empowers the high-speed computations and low-latency transmissions that 5G applications require.

Computer vision as a service: Just like cloud computing companies offer a range of software-as-a-service options, telecom firms are doing the same through MEC application servers. Since these servers are perfectly suited to meet the single-digit latency demands of 5G-connected visual AI products, combining MEC with Chooch empowers telecom firms to offer computer vision as a service to their customers..

Localized data: These systems allow businesses to instantly respond to data exactly where it’s created – leading to faster performance, better security, and improved contextual awareness.

Efficient and powerful IoT networks: MEC offloads processing that normally occurs on IoT devices and runs it through a near-edge server. This dramatically reduces the battery requirements of IoT devices to empower the rapid expansion of extremely efficient IoT networks for the widest variety of use-cases.

These benefits dramatically improve the performance of computer vision enabled IoT networks and mobile devices – ultimately, paving the way for the maximum expression of visual AI technology in the 5G world.

telecom tower for computer vision AI

More Information

Downloads, documents, help: Computer Vision Resources

Read more about Computer Vision: Computer Vision Services

Computer Vision in the palm of your hand: AI App

Speak with Chooch about Computer Vision: Request Demo


Chooch AI has partnered with an array of telecom companies, systems integrators, and OEMs (original equipment manufacturers) to develop MEC-compatible, low-latency, computer vision services. These products are already empowering telecom firms to offer plug-and-play computer vision services to IoT device manufacturers and visual AI developers.

Once subscribed to the computer vision service, device manufacturers and developers can instantly incorporate powerful visual AI features into their products. For example, the Chooch AI platform offers ready-made visual AI algorithms for:

Site Security: Chooch’s facial identification with Liveness Detection – and vehicle license plate authentication – allow customers to create powerful automated systems for access control, zone intrusion, and better site security.

Inventory in retail: Chooch’s computer vision models for retail inventory track the inventories of items on shelves and items in stock. The system automates the process of instructing employees when they need to restock or reorganize shelves. They also automate the process of reordering products when stocks are low, and they can monitor for instances of theft.

PPE detection: Chooch’s prebuilt algorithms for PPE detection can detect whether staff are using necessary personal protection equipment – then send an alert to managers. Chooch can detect when staff fail to don hardhats, goggles, long sleeves, vests, aprons, goggles, harnesses, face shields, and more.

Slip and Fall detection: Chooch’s slip-and-fall detection models can identify when a person slips and falls. Whether it’s an employee walking through a warehouse or a pedestrian crossing the street in a smart city, Chooch can detect a fall and notify emergency response teams and authorities to immediate assistance.

Fire detection: Chooch’s ready-made fire detection systems can identify fire – and the smoke and heat signatures of fire. With visual data from cameras on towers – and aerial drones covering vast distances of land in remote areas – the algorithms notify authorities at the first signs of fire, so they respond early and prevent them from growing into uncontrollable wildfires.

These are just some of the prebuilt visual AI models that Chooch empowers telecommunications companies to offer to their customers. Beyond ready-made, plug-and-play algorithms, Chooch AI includes easy-to-use tools that allow users to train custom computer vision models for unique scenarios.


At Chooch AI, we meet with telecom companies on a regular basis to help them deploy the Chooch AI platform as a service on MEC application servers. These firms have already seen enormous interest in computer vision services from customers – including smart cities, app developers, IoT device makers, mobile phone manufacturers, police, military, private business, industrial operations, and the military.

If you’d like to learn more about Chooch AI for telecommunications, contact our team for a live demo of the Chooch AI platform or start your free trial now!