AWS empowers SEQSENSE to build Autonomous Security Robots

Introduction

In keeping with nationwide institute of inhabitants and social safety analysis, the working population in Japan is expected to decrease by 30% in the next 30 years. A quickly ageing inhabitants in Japan causes a scarcity of labor within the safety area.

Figure 1: SEQSENSE’s security robot SQ-2

Determine 1: SEQSENSE’s safety robotic SQ-2

SEQSENSE, a robotics startup firm in Japan, goals to resolve this problem by offering autonomous safety robotic service. They developed an clever safety robotic SQ-2. that patrols inside buildings. It navigates by itself utilizing pre-created map of a flooring, patrol a number of flooring by speaking with elevators. Their robotic has been deployed in additional than 30 workplace buildings, buying malls, and airports in Japan.

Their core applied sciences are localization, navigation, and mapping utilizing tremendous broad field-of-view LiDAR. They developed their authentic 3D LiDAR sensor for 3D mapping and localization. It allows the robotic to navigate in slender aisle or crowded atmosphere.

The robotic additionally has a excessive decision digicam, 360-degrees digicam with 3 fisheye lenses, microphones, and audio system. Operators can monitor the robotic remotely and talk by means of the robotic. The robotic strikes round as much as 6 hours with 1.5 hour cost and return to the charging station by itself.

Figure 2: Their 3D LiDAR technology

Determine 2: Their 3D LiDAR expertise

Utilizing autonomous robots for safety has a number of benefits. For instance, surveillance cameras are sometimes used for constructing safety. Nonetheless, surveillance cameras typically have blind spots, and establishing extra safety cameras takes price and time. In distinction, the SQ-2 robotic patrols the entire constructing by taking elevate and safety guards can select routes that scale back or get rid of blind spots. As well as, the existence of a bodily robotic can be helpful to discourage crimes like shoplifting with out having human safety guards.

Within the following video, you’ll find out how SEQSENSE makes use of AWS for capabilities like connectivity, distant operation, and fleet monitoring. This publish dives deep into their structure and challenges they resolve with AWS providers.

Challenges

Growing an autonomous robotic is a posh and time-consuming activity, requiring all kinds of applied sciences from machine to cloud. For instance, securely working and monitoring robotic fleets requires amassing telemetry and video information for real-time dashboards. Robotic builders can enhance the robotic software program by analyzing the collected information and supply OTA replace by means of cloud.

As a startup firm, SEQSENSE needs to concentrate on value-differentiation and its core competencies like 3D LiDAR and navigation. Nonetheless, cloud platform can be vital for his or her enterprise as a result of their robotic is designed to be operated by human safety guards by means of an internet console. They must develop and function the cloud platform in addition to the robots with restricted variety of engineers.

Resolution and Structure Overview

Their robotic is all the time linked to the web through 4G mobile connectivity and sending telemetry and video to the cloud. Nonetheless, it might probably function utterly by itself even when it’s disconnected. Safety guards and operators monitor and handle robots from their internet console. It exhibits the standing of robotic, map, place and video of a robotic. Customers command a robotic to patrol particular waypoints or return to charging station.

Figure 3: Web console for robot administrators

Determine 3: Net console for robotic directors

The next diagram is the simplified structure of their robotic and cloud purposes.

Figure 4: Simplified architecture of robot and cloud applications

Determine 4: Simplified structure of robotic and cloud purposes

SEQSENSE needed absolutely managed providers that assist scale back the price of overseeing infrastructure. They leverage providers like AWS IoT Core and Amazon Kinesis Video Streams for ingesting robotic information. SEQSENSE develops and manages all of their cloud infrastructure with solely 4 engineers.

Amassing Telemetry

They use AWS IoT Core to gather telemetry from the robotic. IoT Core lets gadgets simply and securely hook up with cloud and work together with cloud purposes. The information collected from the robotic will probably be saved in a number of database providers relying on the use case. For instance, patrol outcomes are saved in Amazon Relational Database Service (Amazon RDS), the newest robotic statuses like operation mode, errors and battery proportion are saved in Amazon ElastiCache for Redis, and the historic information of robotic place is saved in Amazon TimeStream.

Figure 5: Architecture for sending telemetries

Determine 5: Structure for sending telemetries

Their cloud connectivity software program on the sting are written in Golang. They’ve developed a library to make use of AWS IoT Core options from Golang and printed it as an open supply software program on GitHub.

Distant Operation

IoT Core can be used for distant operation. Safety guards or constructing facility homeowners create a patrol route of their internet console and set the route for every robotic. A robotic normally patrol the constructing alongside the desired route. When it discovered an impediment on the best way to waypoint, it keep away from the impediment. Nonetheless, if it fails to detour and may’t attain to the waypoint, it notifies to its proprietor. The proprietor can skip a waypoint, command the robotic to remain, and return to the charging station.

Figure 6: Architecture for remote operation

Determine 6: Structure for distant operation

Video Streaming and Recording

SQ-2 has 4 cameras and customers can see reside and on-demand video from the net console. The video streamed to the cloud is securely saved into Amazon Kinesis Video Streams for on-demand playback. Customers can simply obtain or playback the media of a sure interval. SEQSENSE additionally makes use of the saved media to enhance the robotic software program. They’ve developed Kinesis Video Streams Producer and Consumer Library for Golang.

Figure 7: Architecture for video streaming and recording

Determine 7: Structure for video streaming and recording

Conclusion

SEQSENSE goals to resolve a scarcity of labor within the safety area by creating clever safety robots. By utilizing AWS providers, they will make their service dependable, sturdy, and straightforward to take care of, scale, and prolong. Particularly, AWS IoT Core and Amazon Kinesis Video Streams assist them simply develop and function their core options like autonomous patrol and distant monitoring.

To study extra robotics use instances from AWS Robotics. Additionally, study extra about AWS IoT providers and options, go to AWS IoT or contact us.

发布者:Yuma Mihira,转转请注明出处:https://robotalks.cn/aws-empowers-seqsense-to-build-autonomous-security-robots/

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