Computer Vision and Cloud Video Business Models
Vinicius Romano breaks down Camerite's franchise and white-label operations, plus its expansion into agribusiness and retail.
Camerite structured its growth through local franchises and white-label security partners. Now, the company is advancing a vertical focused on turning video feeds from diverse camera brands into actionable management data for agribusiness and other industries.
Vinicius Romano, CEO of Camerite, explained in a conversation with Bruno Gimenes on Marketing - The Podcast how the company structures its commercial operations and expands the use of computer vision beyond traditional physical security. While the full episode explores other facets of the brand's trajectory, this segment focused on distribution channels and the use of artificial intelligence on video feeds.
To view the practical examples and visual demonstrations highlighted throughout the interview, readers can watch the studio recording above.
Distribution channels: franchises vs. white label
Analyzing the Brazilian electronic security market, Romano noted that there are 33,000 registered companies in the sector. To achieve the necessary reach without overwhelming its technical infrastructure in Joinville, the company opted to divide its commercial strategy into two main paths: franchises and software distribution for integration partners.
The franchise model was designed to handle government contracts and regional needs through localized service under the core brand, while the white-label format enables local service providers to use the cloud platform without building their own software. Romano notes: "So today, when it comes to security, our model basically serves companies operating in the segment that need a platform, don't want to develop one themselves, and want it constantly updated. So they partner with us on a white-label basis."
The data and computer vision vertical
Beyond conventional features like motion detection, facial recognition, license plate reading, and feature-based searches (such as clothing color across a camera network), Camerite built a business unit dedicated entirely to business intelligence. The goal is to convert visual data streams into operational metrics.
Romano described the stage of this initiative: "We now have a vertical that we've been developing for about a year and running POCs on, which is Camerite focused squarely on data. Looking at computer vision for business, which means transforming images into data." This approach allows the same camera used for property surveillance to also handle foot traffic counts or behavioral analysis.
Hardware neutrality and cloud-based intelligence
A major highlight of the discussion was hardware neutrality regarding physical equipment manufacturers. With the market relying on various device lines from brands like Intelbras, Hikvision, and TP-Link, centralized processing via software eliminates the need to replace a client's existing camera infrastructure.
For Romano, the key advantage lies in deploying intelligence at the software layer: "You can connect your devices to the Camerite platform regardless of the hardware. You take an Intelbras camera or a Hikvision camera and apply the exact same intelligence, because it's software-driven rather than embedded on the device, keeping costs efficient."
New applications in agribusiness
Rural connectivity, accelerated by technologies like Starlink, has enabled the deployment of computer-vision cameras for livestock management and farm monitoring, overcoming previous infrastructure hurdles that relied on RFID tags and manual data collection.
Romano detailed ongoing field tests: "We already have POCs running in the ag sector where the system can monitor how cattle move across the property." This visual analysis makes it possible to detect health issues and animal movement patterns without requiring continuous manual intervention.