Especially for internationally operating companies like Security and Safety Things in the rapidly changing environment of
technological innovations, there are a large number of reasons to be present here. We found that when we visited CES we were highly impressed: It's amazing to see how many thriving firms are pushing the boundaries on topics that also concern the safety and security industry.
Concretely in Las Vegas we detected three trends related to Security and Safety Things. They are fundamental in bringing IoT and smart cameras to the security industry.
1. A rtificial intelligence and computer-aided image processing have overcome the status of a hypothetical topic. Startups and established tech companies present concrete solutions and use cases.
On the one hand, these topics are a field of activity for large technology companies such as Google or
IBM. Especially IBM has some interesting use cases in image recognition. The combination with edge computing plays an important role: The increasing integrated computing power allows the cameras to execute a growing part of the calculations. The pre-processed data will be passed on to the data centre or cloud.
On the other hand, there are highly innovative startups such as the Paris-based machine learning and deep vision company XXII, one of Europe’s hopes located in France’s biggest startup centre. Another example is the AI technology provider
Pilot.ai from Palo Alto. Both companies show the impressive future in the processing of image data for manufacturing, industry, retail and the automotive sector (ADAS).
2. Chip manufacturers are increasingly able to support AI with the next generation of their high- performance processors.
Qualcomm demonstrated the capabilities of new SoC models QCS 603 and 605 at their booth. Here Qualcom combines image processors with a powerful software framework for AI. By combining the computing power of CPU and GPU it will be possible to deploy different tasks related to image processing and robot control. Qualcomm uses the Snapdragon Neural Processing Engine (NPE) software framework.
AI solution provider
Altek unveiled commercial surveillance cameras dedicated to support AI on the edge. They also showcased additional commercial edge vision AI solutions that they co-developed with other leading technology providers. In combination with Cyberlink’s real-time face recognition technology Alteks 3D sensing solution allows for example gesture recognition and obstacle avoidance.
3. In the near future, 5G networks will contribute to enable IoT applications worldwide. 5G will be the key technology and critical success factor for a wide range of IoT applications.
To date, only a few consumers have actually experienced a real 5G network. In 2019 and 2020 5G networks will turn from experimental to regular operation all over the world. AT&T launched the
next-generation network in selected cities while Korean carrier KT also started his 5G service with an AI-powered robot as first "customer". On the one hand, the technology should deliver reliable, stable, uninterrupted data traffic; on the other hand, the ubiquitous Internet will be one of the basic prerequisites for powerful IoT applications that require high data throughput.
Behind the scenes, numerous players are fighting for standards, cooperation's and alliances. In addition to the numerous mobile devices that we will see in the coming months (and especially on Mobile World Congress in February in Barcelona), it will primarily be non-phone applications that will benefit from 5G. Infrastructure technology will be a challenge on top.