Best Video Surveillance Software - Page 7

How Many Video Surveillance Software Products Does G2 Track?

Total Products under this Category: 255

Category Stats (Sep 2026)

  • Average Rating: 4.52/5 (↓0.01 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Solink (+0.04%) - Among all products in this category, Solink recorded the largest rating increase compared to last month

Last updated: September 15, 2026

How Does G2 Rank Video Surveillance Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 2,100+ Authentic Reviews
  • 255+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Video Surveillance Software

G2 Grid® for Video Surveillance Software plotting products by satisfaction and market presence

Highlighted products: Coram AI, Solink, Verkada, Rhombus, Lumana, Kastle, Cisco Physical Security Solution, and Genetec.

Underlying data: [Grid® JSON](https://www.g2.com/categories/video-surveillance/grids.json?focus%5B%5D=coram-ai&focus%5B%5D=solink&focus%5B%5D=verkada&focus%5B%5D=rhombus-systems&focus%5B%5D=lumana&focus%5B%5D=kastle&focus%5B%5D=cisco-physical-security-solution&focus%5B%5D=genetec-genetec)

CircleAI

CircleAI is an advanced vision intelligence platform designed to democratize video analysis by enabling artificial intelligence to interpret visual data as humans do. By making vision intelligence highly accessible, CircleAI aims to enhance operational efficiency and drive growth across various industries. Key Features and Functionality: - Vehicle Detection: Identifies and tracks vehicles to optimize logistics and transportation management. - Human Presence Detection: Monitors human activity to bolster property protection and security measures. - Person Tracking: Follows individual movements to ensure workspace safety and compliance. - People Counting: Counts individuals in a given area to support smart retail analytics and crowd management. Primary Value and User Solutions: CircleAI empowers businesses to harness the power of AI-driven video analysis, transforming raw visual data into actionable insights. This capability allows organizations to improve operational efficiency, enhance security protocols, and make informed decisions based on real-time visual information. By providing accessible and intelligent vision solutions, CircleAI addresses the growing need for advanced video analytics in sectors such as logistics, security, workplace safety, and retail.

Who Is the Company Behind CircleAI?

  • Seller: CircleAI
  • Year Founded: 2025
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    5 employees on LinkedIn®

Cloudvue

Who Is the Company Behind Cloudvue?

  • Seller: Johnson Controls
  • HQ Location: Cork, IE
  • Twitter: @johnsoncontrols
    29,388 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    60,591 employees on LinkedIn®
  • Ownership: NYSE:JCI
  • Total Revenue (USD mm): $22,317

Code Four

Code Four is an AI-powered video analysis and report generation system designed to streamline law enforcement operations by transforming body-worn camera footage into comprehensive, ready-to-file reports. By automating the report-writing process, Code Four significantly reduces the time officers spend on documentation, allowing them to focus more on community engagement and public safety. Key Features and Functionality: - Automated Report Generation: Utilizes advanced AI to analyze body-cam footage and generate accurate incident narratives with timestamps, reducing report writing time by up to 80%. - FBI CJIS Compliance: Ensures end-to-end encryption, maintains a secure chain of custody, and provides full audit trails to protect sensitive criminal justice data. - Investigation Tools: Offers capabilities to cross-reference multiple video sources, generate case summaries, and build evidence timelines, thereby accelerating investigative processes. - RMS & CAD Integration: Seamlessly integrates with existing Records Management Systems (RMS) and Computer-Aided Dispatch (CAD) solutions, preserving current workflows. - Compatibility with Various Camera Systems: Performs frame-by-frame analysis across major body-worn camera providers, including Axon, Motorola, and Getac. - Multilingual Support: Provides transcription and analysis in over 40 languages, accommodating diverse linguistic needs. Primary Value and User Solutions: Code Four addresses the significant challenge of time-consuming and labor-intensive report writing in law enforcement. By automating the conversion of body-cam footage into detailed reports, it enables officers to reclaim valuable time, enhancing operational efficiency and allowing for more proactive community policing. Departments implementing Code Four have reported an average reduction of 65% in report writing time, with some achieving up to 75% time savings. This efficiency translates into substantial cost savings and improved resource allocation, ultimately contributing to more effective law enforcement practices.

Who Is the Company Behind Code Four?

Conntour AI Video Intelligence

Security, intelligence, and operations teams depend on video, but legacy analytics only detect simple, predefined events. Conntour unlocks the full value of your cameras with natural language video search, real time alerts, and automated forensic analysis that adapts to any scenario.

Who Is the Company Behind Conntour AI Video Intelligence?

Craft Wall

Craft Wall is a software-defined video wall management platform for control rooms, NOC/SOC operations, broadcast monitoring, transport dispatch, utility monitoring, public safety rooms and corporate AV spaces. The platform runs on commodity Linux GPU servers and is controlled from a browser- based operator interface. Teams use Craft Wall to compose and manage multiple live sources on shared video walls, including NDI streams, RTSP camera feeds, HDMI capture, IP-KVM sessions and browser-rendered dashboards from tools such as Grafana, Splunk, ServiceNow, Zabbix, Prometheus, SIEM platforms, SCADA systems and VMS software. Craft Wall is designed for organizations that need local control, predictable infrastructure and long-term cost stability. It supports on-premise and air-gapped deployments, with optional hybrid control where metadata can be managed remotely while video remains local. Typical users include network operations teams, security operations centers, public safety operators, transport and utility dispatch teams, broadcast engineers, enterprise AV teams and AV system integrators.

Who Is the Company Behind Craft Wall?

Currux

Currux Vision specializes in developing autonomous AI systems designed to enhance smart infrastructure. By integrating cutting-edge artificial intelligence, machine learning, and computer vision technologies, Currux Vision offers end-to-end solutions that improve safety, productivity, and security for cities, Departments of Transportation (DoTs), government agencies, and infrastructure developers. Their systems are versatile, operating both locally at the edge and in the cloud, and are compatible with existing CCTV, traffic controllers, and sensor infrastructures. Key Features and Functionality: - SmartCity & Intelligent Transportation Systems: Provides AI-enabled solutions for traffic monitoring and enforcement, including real-time traffic analytics, incident detection, and automated responses. - AI Anomaly Detection and Predictive Analytics: Offers self-learning systems that analyze sensor data to predict and prevent equipment failures, enhancing operational efficiency and safety. - AI Driving Assistant: Delivers an advanced mobile application that transforms smartphones into AI-powered driving assistants, offering features like Advanced Driver Assistance Systems (ADAS), real-time driver coaching, safety scoring, and fleet tracking. - Automated Law Enforcement: Utilizes AI to autonomously enforce traffic laws, detecting violations such as speeding, red light infractions, and illegal parking, and providing real-time alerts with photo evidence. - Smart Location & Safety Platform: Manages occupancy, ensures social distancing, monitors waiting times, detects face mask usage, and identifies specific behaviors to enhance public health and security. Primary Value and Problem Solving: Currux Vision addresses the challenges of modern infrastructure management by providing affordable, scalable, and easy-to-implement AI solutions. Their systems enable real-time monitoring and control of complex infrastructures, leading to improved safety, optimized traffic flow, reduced congestion, and enhanced operational efficiency. By leveraging existing infrastructure and offering flexible deployment options, Currux Vision empowers organizations to make data-driven decisions, predict and prevent potential issues, and effectively allocate resources, ultimately improving the quality of life for communities.

Who Is the Company Behind Currux?

CVEDIA

CVEDIA is a leader in AI‑powered video analytics and computer vision solutions that turn raw video into actionable intelligence for security, operations, and analytics applications. Unlike many vendors that rely on off‑the‑shelf models, CVEDIA controls the full AI pipeline, from synthetic data generation and model training to deployment and continuous improvement, enabling high accuracy and robust performance even in real‑world conditions where traditional approaches often fail. At the core of CVEDIA’s technology is CVEDIA‑RT, a modular, cross‑platform AI inference engine designed for production deployment across edge devices, servers, and cloud environments. It supports a wide range of use cases including intrusion and perimeter security, object counting, crowd estimation, anomaly detection, traffic flow analysis, and more, with low false positives and real‑time responsiveness that organizations rely on. One of the key differentiators for CVEDIA is its use of proprietary synthetic data, which eliminates the traditional bottleneck of collecting and labeling real‑world datasets. Synthetic data allows the company to generate edge‑case scenarios that are difficult or impossible to capture in reality, resulting in AI models that generalize better, deploy faster, and adapt more reliably across environments. CVEDIA’s technology is hardware‑agnostic and scalable, optimized for everything from low‑power edge devices to enterprise GPU and VPU platforms. Native integrations include plugins for leading video management systems such as Milestone XProtect and Nx Witness, allowing organizations to augment their existing surveillance infrastructure with advanced analytics without requiring costly hardware upgrades. In addition to software solutions, CVEDIA offers turnkey appliances like the CVEDIA AI HUB‑8, a pre‑configured smart camera hub that combines VMS and AI analytics in one box. This appliance supports real‑time detection and alerting for people, vehicles, and other objects with no cloud dependency and no subscription fees, making it ideal for small‑to‑medium deployments where simplicity and cost efficiency matter. The company’s solutions are deployed across a broad spectrum of industries, including physical security, smart cities, transportation, defense, and enterprise environments. CVEDIA’s performance‑proven analytics are especially valued where reliability and accuracy are critical, such as in perimeter breach detection or large‑scale monitoring operations. CVEDIA’s commitment to integration and performance has also led to strategic partnerships with industry leaders in AI hardware and edge computing. Collaborations with companies like Blaize and DeepX have extended the reach of CVEDIA’s analytics to optimized inference platforms, making advanced video intelligence more accessible and cost‑effective at the edge. Beyond technology, customers appreciate CVEDIA’s deployment simplicity and flexibility. Solutions often install and configure in minutes rather than months, and analytics can run on existing camera infrastructure, significantly reducing total cost of ownership. Licensing options are designed to be customer‑friendly, with both subscription and perpetual models available to suit different deployment strategies. Headquartered in Singapore, with a global presence and partnerships spanning hardware OEMs, systems integrators, and AI platform vendors, CVEDIA continues to push the frontier of video analytics, delivering real‑time intelligence that enhances security, drives operational insights, and unlocks new value from visual data.

Average Rating: 4.0/5.0

Total Reviews: 3

Who Is the Company Behind CVEDIA?

  • Seller: CVEDIA
  • Year Founded: 2016
  • HQ Location: Singapore, SG
  • LinkedIn® Page: www.linkedin.com
    21 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Medium

What Do G2 Reviewers Say About CVEDIA?

AI-generated summary from verified user reviews

Pros
  • Users find CVEDIA's AI technology invaluable for quickly developing effective computer vision algorithms with limited real-world data.
Cons
  • Users find the lack of customization in CVEDIA limiting, restricting ability to tailor algorithms to specific needs.
  • Users find the limited customization in CVEDIA restricts their ability to tailor algorithms effectively for their needs.

What Are Recent G2 Reviews of CVEDIA?

Darsa Ai

At Darsa AI we leverage Computer Vision + AI to truly transform Productivity, Safety and Security in organisations. Our models are pre-trained. We plug into existing cameras and start delivering alerts in real-time immediately. We are driving impact with customers like Amazon, ShadowFax, Saint-Gobain, Arcellor Mittal and Qualcomm. Amazon uses us for safety in warehouses, Qualcomm for License Plate recognition and automating Parking management, Arcellor Mittal for Factory Safety and ShadowFax for facial recognition based attendance tracking. Darsa AI Pte Ltd is a private limited company headquartered in Singapore Website: www.darsa.ai Youtube: https://www.youtube.com/darsaai

Average Rating: 4.6/5.0

Total Reviews: 4

How Do G2 Users Rate Darsa Ai?

  • Ease of Admin: 8.3/10 (Category avg: 9.1/10)

Who Is the Company Behind Darsa Ai?

Who Uses This Product?

  • Company Size: 50% Small, 25% Medium

What Do G2 Reviewers Say About Darsa Ai?

AI-generated summary from verified user reviews

Pros
  • Users value the affordability of Darsa Ai, appreciating its cost-efficient integration with existing systems and infrastructure.
  • Users value the comprehensive alert notifications of Darsa Ai, enhancing the effectiveness of their video surveillance systems.
  • Users commend Darsa Ai's super responsive customer support, greatly enhancing their overall product experience and satisfaction.
  • Users find Darsa Ai incredibly easy to set up, ensuring a seamless and cost-efficient adoption process.
  • Users commend the ease of setup and cost-efficiency of Darsa Ai, appreciating its intuitive integration and responsive support.

What Are Recent G2 Reviews of Darsa Ai?

Davantis

Who Is the Company Behind Davantis?

  • Seller: Davantis
  • Year Founded: 2005
  • HQ Location: Bellaterra, ES
  • LinkedIn® Page: www.linkedin.com
    46 employees on LinkedIn®

DeepGuard AI Platform

Efficiently Search All Surveillance Video: same way you search the Save time and money with the ability to search across multiple cameras and locations, returning accurate results. Stop wasting time scrubbing through video and immediately find the exact people, vehicles, or objects you’re looking for—even search live video during critical incidents Search by description Search surveillance video the same way you search the web (Examples: Blue shirt with backpack; Red Toyota truclc Person on bike) Narrow results by date/time Pinpoint specific video or incidents from any location or camera by choosing to view a specific date and time See exact video results Powerful Al delivers fast and accurate search results from any cloud- connected camera

Who Is the Company Behind DeepGuard AI Platform?

DeepNeuronic

DeepNeuronic is a technology startup founded in 2021, specializing in AI-powered computer vision solutions designed to enhance safety and intelligence across various industries. By integrating advanced machine learning algorithms with existing surveillance infrastructures, DeepNeuronic enables real-time detection of abnormal and potentially dangerous activities, thereby promoting public safety and operational efficiency.

Who Is the Company Behind DeepNeuronic?

Deep Sentinel

Deep Sentinel is an advanced home security system that combines artificial intelligence (AI) with live professional monitoring to proactively prevent crimes before they occur. Unlike traditional security systems that merely record incidents, Deep Sentinel's approach involves real-time intervention, ensuring immediate response to potential threats. This system is designed to provide homeowners with peace of mind by actively deterring intrusions, vandalism, and package thefts. Key Features and Functionality: - AI-Powered Threat Detection: The system utilizes AI algorithms to analyze video feeds from wireless cameras, distinguishing between routine activities and suspicious behavior. This ensures that only genuine threats are flagged, reducing false alarms. - Live Professional Monitoring: Upon detecting a potential threat, the system alerts Deep Sentinel's 24/7 surveillance team. These trained security guards can intervene directly through the camera's two-way audio system, issue warnings, and, if necessary, contact local law enforcement. - High-Definition Cameras: The wireless cameras offer 1080p full HD recording with night vision capabilities, ensuring clear footage regardless of lighting conditions. They are equipped with a 130° field of view and can detect motion up to 35 feet away. - Integrated Siren and Strobe Light: Each camera features a built-in 104dB siren and strobing red lights to deter intruders upon detection. - User-Friendly Installation: The system is designed for easy DIY installation, with wire-free cameras and intuitive mounting options. The rechargeable batteries can last up to two months on a single charge, and a charging station is built into the hub for convenience. Primary Value and User Benefits: Deep Sentinel addresses the limitations of conventional security systems by offering proactive crime prevention. By integrating AI with live human intervention, it ensures rapid response to potential threats, often before a crime is committed. This not only enhances the safety of the property but also provides homeowners with a sense of security, knowing that their home is under constant, vigilant protection. The system's ability to differentiate between real threats and false alarms ensures that law enforcement is contacted only when necessary, leading to faster response times and higher arrest rates.

Who Is the Company Behind Deep Sentinel?

Deliryum.AI

Deliryum.AI is an innovative artificial intelligence platform designed to enhance industrial safety and operational efficiency. By transforming existing surveillance cameras into intelligent monitoring systems, it autonomously captures and analyzes safety events, providing real-time alerts and actionable insights. This proactive approach enables organizations to prevent accidents, optimize processes, and foster a culture of safety within the workplace. Key Features and Functionality: - Autonomous Safety Event Detection: The platform identifies and records safety incidents without manual intervention, ensuring continuous monitoring and immediate response to potential hazards. - Real-Time Alerts and Notifications: Deliryum.AI delivers instant alerts to Environmental Health and Safety (EHS) teams, facilitating prompt action to mitigate risks and prevent incidents. - Operational Visualization: Complex data is transformed into intuitive graphs and interactive dashboards, providing clear insights into safety performance and operational efficiency. - Integration with Existing Infrastructure: The system seamlessly integrates with current camera setups, eliminating the need for additional hardware and reducing implementation costs. - Energy Efficiency and Sustainability: By optimizing resource use and reducing energy consumption, Deliryum.AI contributes to lower CO₂ emissions and supports sustainable industrial practices. Primary Value and User Solutions: Deliryum.AI addresses the critical need for enhanced safety and efficiency in industrial environments. By autonomously monitoring and analyzing safety events, it significantly reduces workplace incidents—by up to 74%—and provides comprehensive risk visibility. This leads to improved operational efficiency, informed decision-making, and a safer work environment for all employees. Additionally, its integration with existing systems and focus on sustainability make it a cost-effective and environmentally responsible solution for modern industries.

Who Is the Company Behind Deliryum.AI?

Rachana Hasyagar
RH
Researched and written by Rachana Hasyagar
Updated April 9, 2026