This Startup revolutionizes Servicing Industry with Object Recognition AI

The difficulty of diagnosing and resolving complex issues remotely is the major problem and challenge of remote communication and collaboration between businesses and customers in industries where onsite repairs or inspections are required. Traditional communication methods, such as phone calls or email, can often be ineffective because they lack the visual context to understand the problem fully.

In many cases, onsite expert visits are required to diagnose and resolve issues, which can be expensive and time-consuming. This is particularly true in industries such as manufacturing, construction, or home services, where equipment, structures, or systems are complex and require specialized knowledge to operate and repair.

For example, manual labor required for repairing and maintenance tasks can be time-consuming and costly, primarily when human errors result in unsatisfied customers or damage to equipment. Additionally, the lack of automation and technology can result in longer service times, lower productivity, and higher labor costs.

However, companies can significantly reduce these losses by incorporating object recognition technology. The use of automation and technology can improve efficiency, reduce the time required to complete tasks, and prevent mistakes. This can lead to higher productivity, reduced labor costs, and improved customer satisfaction, ultimately resulting in increased revenue for the company.

        Figure: Object detection on Home Appliances

The service industry is a large and growing market, valued at over $700 billion globally in 2020, according to a report by Statista. The inefficiencies caused by the lack of automation and object recognition technology can lead to significant losses in both time and money for companies in this industry.

In a report by ZDNet, it was estimated that companies in the US alone lose around $1 trillion annually due to poor customer service, which includes communication breakdowns between businesses and customers. The report further highlighted that businesses that improve customer service and communication could increase their revenue by up to 8%.

Role of Computer Vision

The role of computer vision in enhancing services in various industries, manufacturing, homes, etc., through object recognition is significant. Computer vision technology can identify and interpret the environment around machines, allowing them to perform tasks more efficiently and accurately. This can reduce labor costs and improve the quality of service provided to customers.

Object recognition algorithms can identify furniture, appliances, and other objects within a home, enabling machines to navigate around them and perform tasks more efficiently. Sensors and cameras can also detect potential issues before they occur, monitor energy usage, and detect unusual behavior, allowing machines to perform preventative maintenance and reduce downtime.

Automation is another promising application of computer vision in providing services, which may include industries, homes, etc. By automating cleaning, maintenance, and security tasks, machines can perform these tasks more efficiently and with greater accuracy than humans. This can reduce labor costs, increase productivity, and ultimately improve the quality of service provided to customers.

One such company utilizing computer vision for efficiently providing services, be it home or industrial, where in-person supervision may be required, is Streem.

About Streem

Streem is a technology company specializing in remote communication and collaboration solutions, primarily for the on-site services industry. Their platform combines augmented reality (AR) and computer vision technologies to enable remote experts to diagnose and resolve customer issues without being physically present.

            Figure: streem's Webpage

The idea behind Streem is to provide a remote communication and collaboration platform for businesses in various industries, such as home services, insurance, and retail. The platform uses augmented reality (AR) and artificial intelligence (AI) technologies to enable remote experts to diagnose and resolve customer issues without being physically present.

Streem's platform allows users to connect via a video call, augmented with AR technology that overlays information onto the live video feed. For example, a remote expert can use AR to highlight specific parts of a machine or provide step-by-step instructions on how to fix an issue. The platform also includes AI-powered tools, such as image recognition and natural language processing, which can help identify issues and provide automated solutions.

Overall, the idea behind Streem is to use AR and AI technologies to improve communication and collaboration between businesses and customers, providing an efficient and effective way to diagnose and resolve issues remotely.

How Streem utilizes computer vision in their solution

Streem uses computer vision to enhance its platform, which aims to provide services for multiple appliances and objects with greater efficiency and reduced cost.

Firstly, Streem's computer vision technology enables technicians to diagnose and solve problems in a customer's home remotely. Using augmented reality (AR) and computer vision, technicians can visually inspect a customer's home and identify issues with equipment or appliances without needing to visit the home physically. This technology allows Streem to provide more efficient and personalized customer service, saving time and money for service providers and customers.

Streem's computer vision technology also allows service technicians to guide customers through repair and maintenance tasks remotely. By providing AR overlays on the customer's mobile device, technicians can guide the customer through the repair process step-by-step, ensuring that the repair is completed correctly and reducing the need for repeat visits.

Another way that Streem uses computer vision is by providing a real-time understanding of a customer's home environment. Using machine learning algorithms, Streem's technology can identify and analyze a home's energy usage patterns, detect inefficiencies, and recommend personalized energy-saving solutions to customers.

In addition, Streem's computer vision technology can also be used for security applications. By monitoring a home's environment through visual data, Streem's technology can identify potential threats or unusual activity and provide real-time alerts to homeowners or security personnel.

Conclusion

In conclusion, the lack of automation and object recognition technology in the service industry can result in significant losses for companies in terms of time and money. However, by incorporating computer vision technology, businesses can improve efficiency, reduce labor costs, and ultimately increase revenue.

Streem is a company that provides a remote communication and collaboration platform for businesses in various industries, such as home services, insurance, and retail. Streem's platform uses augmented reality (AR) and artificial intelligence (AI) technologies to enable remote experts to diagnose and resolve customer issues without being physically present. The goal is to improve communication and collaboration between businesses and customers, providing an efficient and effective way to diagnose and resolve issues remotely.

Streem aims to solve the problem of inefficiencies in the service industry through object recognition technology. Using computer vision, Streem's technology allows technicians to remotely diagnose and solve problems in a customer's home, guide customers through repair and maintenance tasks, analyze a home's energy usage patterns, and identify potential security threats.