Sighthound Video vs Tincam

Struggling to choose between Sighthound Video and Tincam? Both products offer unique advantages, making it a tough decision.

Sighthound Video is a Ai Tools & Services solution with tags like video-analytics, object-detection, people-detection, tracking, license-plate-recognition, deep-learning, cctv, ip-cameras, security, retail, smart-cities, industrial, transportation.

It boasts features such as Real-time object detection and tracking, People counting and queue analytics, Face recognition, License plate recognition, Crowd analytics, Intrusion and loitering detection, Unusual motion detection, Heatmaps and dwell time analytics and pros including Accurate AI and deep learning algorithms, Easy to set up and use, Works with most IP cameras and CCTV systems, On-premise and cloud options available, Customizable rules and alerts, Scalable for multiple locations and cameras.

On the other hand, Tincam is a Security & Privacy product tagged with video, monitoring, motion-detection, cloud-storage, remote-access.

Its standout features include Connect IP cameras and webcams, Motion detection, Cloud storage support, Remote viewing on phones, Video recording, and it shines with pros like Free and open source, Works on Windows, Mac, and Linux, Easy to set up, Supports many camera models, Flexible motion detection, Can store videos locally or in cloud.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Sighthound Video

Sighthound Video

Sighthound Video is a video analytics software for CCTV and IP cameras. It uses deep learning for real-time object and people detection, tracking, license plate recognition, and more. Ideal for security, retail, smart cities, industrial, and transportation.

Categories:
video-analytics object-detection people-detection tracking license-plate-recognition deep-learning cctv ip-cameras security retail smart-cities industrial transportation

Sighthound Video Features

  1. Real-time object detection and tracking
  2. People counting and queue analytics
  3. Face recognition
  4. License plate recognition
  5. Crowd analytics
  6. Intrusion and loitering detection
  7. Unusual motion detection
  8. Heatmaps and dwell time analytics

Pricing

  • Subscription-Based
  • Pay-As-You-Go

Pros

Accurate AI and deep learning algorithms

Easy to set up and use

Works with most IP cameras and CCTV systems

On-premise and cloud options available

Customizable rules and alerts

Scalable for multiple locations and cameras

Cons

Can be expensive for large deployments

Requires consistent internet connectivity for cloud option

May require camera upgrades for optimal performance

Limited integrations compared to some competitors


Tincam

Tincam

Tincam is an open-source video surveillance software for Windows, Mac, and Linux. It allows you to connect IP cameras and webcams to monitor areas in homes or businesses. Key features include motion detection, cloud storage support, remote viewing on phones, and video recording.

Categories:
video monitoring motion-detection cloud-storage remote-access

Tincam Features

  1. Connect IP cameras and webcams
  2. Motion detection
  3. Cloud storage support
  4. Remote viewing on phones
  5. Video recording

Pricing

  • Open Source

Pros

Free and open source

Works on Windows, Mac, and Linux

Easy to set up

Supports many camera models

Flexible motion detection

Can store videos locally or in cloud

Cons

Lacks some advanced features of paid software

Mobile app could be better

No official support offered

Requires some technical knowledge to use

Not ideal for large surveillance systems