Machine Studying (ML), AI, Laptop Imaginative and prescient (CV)… you’d be laborious pressed to search out somebody who hasn’t at the least heard of those subjects. They dominate fashionable tradition and are on the forefront of a brand new group of technological potentialities. A wonderful instance is the – a digital camera that stretches the definition of ‘digital camera’. Powered by ML and CV, the MV is a visible sensor, providing important insights about folks and autos in your bodily areas. These insights deal with the counting & movement of objects in body at a selected time, and they’re relevant to a wide range of use circumstances.
Whereas many challenges might be addressed with the MV’s native capabilities, what if our use case is extra advanced? We could be fascinated about detecting topics aside from folks or autos. Maybe we have to classify a car by make & mannequin, or classify an individual by age. How will we tackle these use circumstances?
One approach to remedy these challenges is to pair the MV with a customized ML mannequin. We will leverage the MV’s snapshots, carry out picture evaluation utilizing our ML mannequin, and act on the outcomes. Another choice is the brand new “” function. This function permits us to insert our personal ML mannequin instantly onto the digital camera, subscribe to a MQTT matter, and extract classification information. What would these concepts appear like in follow? Nicely let’s take a look at actual examples of the place our workforce carried out these concepts to assist Cisco prospects remedy distinctive challenges. Every case is exclusive, however all of them share widespread elements: an MV Digital camera, a customized ML Mannequin, and just a little little bit of customized code.
Folks Detection 2.0
On this instance, we labored with a retail buyer fascinated about creating a customized procuring expertise utilizing digital signage and Meraki MV’s. Our workforce used a mix of MV Folks Detection, Python, and AWS’s Rekognition Engine to boost the client procuring expertise. The answer detects consumers, identifies their age & intercourse, and makes use of digital signage to show information pushed, related product traces. The answer not solely improved the client’s expertise however result in elevated gross sales and additional analytics round buyer foot visitors and demographics. Take a look at the code .
Automobile Detection 2.0
On this instance, we labored with a buyer fascinated about bettering their curbside pickup expertise by decreasing buyer wait occasions. Our workforce constructed an answer that detected a automotive, matched the license plate to an order, and despatched a Webex notification informing staff a buyer with the corresponding order was ready. Powered by Flask, MV Automobile Detection, and the Google Imaginative and prescient Engine for Plate Detection, the answer considerably decreased curbside pickup time and elevated worker effectivity. Take a look at the code .
Past Folks and Automobiles
In our last instance, a buyer wanted to simply implement masks utilization in a big public venue throughout Covid-19. Our resolution leveraged the MV’s RTSP Video Feed, Python, and a customized TensorFlow Masks Mannequin to research MV footage for masks utilization. If an individual in body was not sporting a masks, the code sends a Webex alert and snapshot to safety personnel. This resolution helped the venue meet compliance and security restrictions through the pandemic. Take a look at the code .
Cameras & ML Fashions vs. The World
The Meraki MV Cameras supply a robust platform for automation, however typically a use case goes past native capabilities. Fortuitously, with a little bit of customized code & a customized mannequin, it’s simpler than ever to increase an MV and tackle a buyer’s most troublesome challenges.
When you’re fascinated about studying extra concerning the examples, take a look at the hyperlinks under. Every repository accommodates the pattern code & directions for the right way to use it in your individual community:
About our GVE workforce
The International Digital Engineering (GVE) workforce works with Cisco prospects to assist deliver their automation concepts to life. Along with Cisco Account Groups, we discover alternatives the place prospects want just a little assist getting began with automation or integration tasks. We develop easy examples to showcase what is feasible with just a little little bit of customized code. Many of those instance tasks are revealed on the and shared with .
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