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Partners Worldwide
AI + Wireless Camera + 4G + Milesight Advantages
4G Solar-powered Traffic Sensing Camera
Customer input was like our North Star
"We found a high demand for collecting traffic flow, detecting illegal parking, and capturing objective evidence for community or police use, which gave us the 'aha' moment."
Where our technological strength lies
“Our unique strength lies in how we combine the radar technology and AI algorithms to increase the detection rate and accuracy.”
The next main focus of the roadmap
“The feedback from our customers has strengthened our confidence in the direction of wireless deployment and highlighted quite a few specific needs.”
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How did you first determine the direction of the product? Are there any inspirations from customers?
Customer feedback helps set our course.
In the case of traffic surveillance cameras for streets and highways, traditional outdoor setup involved laborious and complicated wiring. Our customers wanted something simpler. A swift and effortless installation was essential to them, reducing both setup time and labor costs. They also wanted a product that was as sustainable and energy-efficient as it was effective.
Through trade shows, partner visits, and market research, we gained diverse customer insights. Along with the basic surveillance functions, our customers suggested a variety of camera applications, some of which were quite intriguing. For instance, there were high demands for collecting traffic flow, detecting illegal vehicles, capturing illegal dumping, and monitoring entry and exit points for parking lots.
This feedback led us to our "aha" moment. We embraced these needs to shape our product—a wireless solar-powered camera with LPR capturing capability.
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Could you share more details on the technologies applied in this traffic sensing camera?
Restricted by the technology itself, PIR-trigger and radar-trigger capturing fail to adapt to some use scenarios. Our unique strength lies in how we combine radar technology and advanced AI algorithms.
The radar module detects targets in real-time and wakes up the device. The target will then be identified and filtered by AI to ensure that valid vehicle data is captured. We added multi-dimensional vehicle characteristics to provide better capture results at night. Both the capture rate and the image quality to support the back-end algorithm are at a relatively high level.
In addition, with dual systems, the device goes into hibernate mode when not working. Radar triggers a quick start to capture, and then the other system is activated to further filter with AI and execute the relevant applications. It consumes less power under the same standby time while ensuring high accuracy.
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Looking forward, how do you envision this series of traffic sensing cameras?
As I mentioned before, ever since we launched our 4G Solar Power Traffic Sensing Camera, the feedback from our customers has strengthened our confidence in the direction of wireless deployment. Currently, we are focusing on gaining insights into customer needs, further understanding actual use scenarios, and openly selecting the right technology to meet these needs.
For instance, one of the frequently mentioned requirements is the addition of video streams. By analyzing the differences between video frames, moving objects in a scene can be detected and tracked, including information such as people entering and exiting and vehicle travel paths and speeds. Advanced AI algorithms can recognize specific patterns of behavior, such as people entering or leaving a specific area, vehicles stopping at a certain location, etc.
