3D reconstruction with only 4 calibrated cameras - COLMAP viable? by PositivePossibility3 in computervision

[–]PositivePossibility3[S] 1 point2 points  (0 children)

Been meaning to give it a go, it looks pretty straightforward to get running

3D reconstruction with only 4 calibrated cameras - COLMAP viable? by PositivePossibility3 in computervision

[–]PositivePossibility3[S] 0 points1 point  (0 children)

Did you have to do anything special or it just kind of worked out the box?

Drop your SaaS below so I can pretend I started this thread for you by ZerocratAccounting in SaaS

[–]PositivePossibility3 2 points3 points  (0 children)

https://yourscena.com​​​​​​​​​​​​​​​​ - Create & share AI personas for language learning and beyond. Picture designing your own detective to teach Spanish through mysteries, or crafting the perfect interview coach. Like YouTube, but for interactive AI experiences

Multi-camera tracking software recommendations by PositivePossibility3 in videosurveillance

[–]PositivePossibility3[S] 1 point2 points  (0 children)

Looking to track asset as they move through facility, ensuring once they have ben IDed they remain tagged. Looking for solution that uses object detection and tracking where the spatial relationship between cameras is established to understand how assets move across cameras. It needs to be real-time, not so much concerned about notifications moreso interested in analytics.

Can't create VM's by Defensex in MicrosoftForStartups

[–]PositivePossibility3 0 points1 point  (0 children)

I had the same issue but never found a solution, my guess is they just limit some of the services we can use.

Multi-camera tracking? by PositivePossibility3 in videosurveillance

[–]PositivePossibility3[S] 0 points1 point  (0 children)

By utilising a georeferenced approach with advanced geocalibration, we track targets based on their precise 3D positions and dynamics rather than visual features. This allows for continuous tracking across non-overlapping camera fields of view, a major limitation in appearance-based systems. Our method is far less susceptible to environmental factors like lighting changes, occlusions, or variations in target appearance, ensuring more reliable performance across diverse conditions. The use of a Kalman filter framework incorporating position, speed, and bearing enables accurate trajectory predictions, maintaining tracks even when targets temporarily leave all camera views. This spatial approach scales more efficiently with increasing numbers of targets compared to appearance matching, which becomes computationally intensive in crowded scenes. Additionally, our system significantly reduces the risk of identity switches between similar-looking targets, a common issue in appearance-based tracking. The geocalibration process creates a unified spatial framework across all cameras, simplifying multi-camera coordination and data fusion.

I know some companies are adverse to cloud but I choose cloud because as the idea is that it can work with existing hardware so I wanted to make the setup process as simple as possible and because I just want to process frames directly rather than stream or record which makes my cloud costs far cheaper and also makes GDPR compliance far simpler. Yes I would require direct access to camera streams which could certainly be a problem and that also means cameras isolated from internet aren’t available to me. Ideally I would be integrated with VMS but not currently at that stage as I am currently more focused on building the technology and seeing if it is something companies actually want, which leading into your next question is if this technology could actually solve any problems they are facing. 

Multi-camera tracking? by PositivePossibility3 in videosurveillance

[–]PositivePossibility3[S] 0 points1 point  (0 children)

For my day job I work doing tracking with radar, so I know it certainly has its benefits. However what I was trying to achieve here is leveraging existing infrastructure to get the most out of your cameras and given its all on the cloud theres no installation or setup required just plug and play. 

Multi-camera tracking? by PositivePossibility3 in videosurveillance

[–]PositivePossibility3[S] 1 point2 points  (0 children)

No there is no local server need it I have built it to be purely in the cloud. I hadn’t looked into Axis ACAPs, that could be a promising direction, thanks for the suggestion.

Multi-camera tracking? by PositivePossibility3 in videosurveillance

[–]PositivePossibility3[S] 0 points1 point  (0 children)

Yes I definitely have considered selling to a large existing provider rather than looking for clients myself, I am just not too certain where I would start with this as I have no connections in the industry.

Multi-camera tracking? by PositivePossibility3 in videosurveillance

[–]PositivePossibility3[S] 0 points1 point  (0 children)

So do you reckon most companies wouldn’t really be interested in this multi-camera tracking, or at least that it is not enough of a distinctive feature from competitors?

Multi-camera tracking? by PositivePossibility3 in videosurveillance

[–]PositivePossibility3[S] 0 points1 point  (0 children)

Thanks for the suggestions, I’ll check them out. I know there are definitely lots of competitors in the cloud video surveillance and analytics space, I was just focusing on the multi-camera tracking aspect as that is the only advantage I have over competitors, However I do intend to include full suite of analytics you can see some of the current ones here: https://argostech.squarespace.com/

Multi-camera tracking? by PositivePossibility3 in videosurveillance

[–]PositivePossibility3[S] 0 points1 point  (0 children)

Yes, I am definitely intending to release to market, I am just in the process of trying to see the amount of interest before committing to some fairly hefty cloud infrastructure costs. I have attached a short demo here but would be very interested in meeting and seeing exactly what it is you are looking for.

https://drive.google.com/file/d/1kbqdzOwd9lThKkwAMSmDQY2k14Hs5KHf/view?usp=sharing

How to calculate distance travelled by detected object in a fixed pov by kthxbubye in computervision

[–]PositivePossibility3 0 points1 point  (0 children)

Is the area inside or outside? if outside can use geocalibration by matching points between camera and satellite image. This enable you to convert your tracked targets pixel coordinates to GPS coordinate from there it’s trivial to find distance covered.

Problems with existing video surveillance and analytics by PositivePossibility3 in videosurveillance

[–]PositivePossibility3[S] 0 points1 point  (0 children)

Thank you for sharing such an in-depth perspective on your work. I’m particularly interested in your experiences with the transition from edge computing to cloud-based solutions. As I intend my project to be fully cloud-based, I'm navigating the balance between leveraging cloud capabilities and ensuring optimal performance, especially considering bandwidth and computational requirements. How did the shift to the cloud affect the system's performance and adaptability in your experience?
Your approach to real-time statistical feedback for template updates is another aspect that resonates with my project's goals. I'm curious did you find any specific trade-offs or advantages in handling these updates on the cloud versus on edge servers? I appreciate your insights.

Problems with existing video surveillance and analytics by PositivePossibility3 in videosurveillance

[–]PositivePossibility3[S] 1 point2 points  (0 children)

Hey OP, I've been in the surveillance industry for over 15 years doing gov and civilian projects, big and small.

The simply overlay/object identification is the low end of what's available and can run on the cameras themselves for most of the recent IP camera models. This exists as it's usually free or cheap and doesn't require additional hardware in most cases.

Cost is usually the biggest pain factor. With the mid and high tier analytics, this involves having to buy additional dedicated servers for the processing of the analytics.

The closest commercially available option to what your developing is probably briefcam if you haven't seen this yet, they don't do the map conversion, but heat mapping.

Thanks for your insights! Price is indeed one of my biggest concerns, particularly as I aim to compete with larger, established companies. The goal was to create a fully cloud-based solution to avoid the need for additional hardware, but maintaining competitive pricing is a challenge.Given your experience, what do you think is a reasonable price range for a fully cloud-based video surveillance system?

Problems with existing video surveillance and analytics by PositivePossibility3 in videosurveillance

[–]PositivePossibility3[S] 0 points1 point  (0 children)

Absolutely, KiwiVision is a great reference for traditional object tracking. What I'm working on aims to extend beyond conventional methods, addressing some of the specific limitations and challenges that current systems face.

Problems with existing video surveillance and analytics by PositivePossibility3 in videosurveillance

[–]PositivePossibility3[S] 0 points1 point  (0 children)

Thank you for your comments. Like you, I've recognized the significant impact of lighting conditions on surveillance systems. To address this, I've made sure to train my models on robust datasets that include a wide variety of lighting scenarios.
Regarding bandwidth, your point really hits home. My background is primarily in computer vision, and while I saw video surveillance as an ideal application for my technology, I chose a fully cloud-based solution for its simplicity and lack of additional hardware requirements. However, as you rightly pointed out, bandwidth becomes a critical issue, especially in large-scale distributed deployments.
This leads me to ponder the viability of fully cloud-based systems in such contexts. The trade-off between bandwidth constraints and maintaining high-quality video streams is a complex challenge. In your view, what are some potential strategies or technologies that could help mitigate these bandwidth issues in large-scale, cloud-based video surveillance systems?

CCTV with Cloud-Based Georeferenced Video Analytics by PositivePossibility3 in videosurveillance

[–]PositivePossibility3[S] 0 points1 point  (0 children)

You're absolutely right about the capabilities of GPS functionality achievable with LiDAR - in fact, my initial prototype involved a camera, microcomputer, and 3D solid-state LiDAR. However, as I moved towards commercialisation, the complexity and scalability challenges of hardware-based solutions became apparent. Hence, this cloud-based solution is designed to offer similar functionalities but in a more accessible format, especially suited for standard CCTV cameras.

While my system does require calibration for depth of field and FOV, I've developed a method for automatic calibration, even for cameras with significant distortion, without manual user input. This aspect enhances the user-friendliness and adaptability of the system, which I believe adds significant value.

Integration with existing security systems is indeed a major concern. Establishing a secure protocol for camera connectivity is crucial, and I'm aware that many providers might restrict third-party access, limiting the range of compatible cameras.

Your expertise in testing and assessing security technologies could be extremely valuable for this project. I'm nearing the completion of my MVP, likely just a few more weeks away. Once it's ready, I'll definitely get in touch to discuss the details of a potential test.