Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the automotive industry. This time, you get to discover 5 hand-picked crash detection solutions.
Global Startup Heat Map highlights 5 Top Crash Detection Solutions out of 185
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence-powered StartUs Insights Discovery Platform, covering 1.379.000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.
The Global Startup Heat Map below reveals the distribution of the 185 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 automotive startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these 5 startups & scaleups in this report. For insights on the other 180 crash detection solutions, get in touch.
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DRiVR offers Dashcam Accident Detection
Road collisions often result in monetary losses, injuries, and may have fatal consequences. However, an effective accident detection system is capable of alerting the driver of a dangerous situation and preventing a collision. To develop such a system, startups apply AI to real-time dashcam video, safeguarding drivers and preserving incident information for insurance claims.
US-based startup DRiVR works on a dashcam accident detection system. Utilizing AI, the startup’s solution allows constant traffic monitoring and recording of dangerous events, such as hard braking or accidents. Additionally, in case of a collision, the solution provides comprehensive reporting, which includes images, video footage, location, and driving path map. This allows drivers to immediately submit a full insurance report and prevents false accusations.
Axitech works on Automated Collision Capture & Management
After a collision, collecting insurance information is usually not the priority for a driver. Since insurance companies do not receive complete accident information, insurance claims procedures take longer to settle. To help both drivers and insurance companies, startups develop connected crash management solutions.
British startup Axitech develops automated collision capture and management solutions. The startup leverages cloud-based collision detection algorithms to help customers make breakdown (bCall) and emergency (eCall) calls. Axitech provides a reporting advisor app that guides the driver to complete the first notice of loss (FNOL) report and accelerate insurance settlements. Additionally, the startup allows original equipment manufacturers (OEMs), car software providers, and insurance companies to increase customer satisfaction and loyalty, as well as optimize claims processing tasks.
GeoZilla delivers Crash Detection Alerts
When the driver receives a serious injury in a collision, the speed of emergency services matters. However, if the driver is unconscious or incapacitated, the inability to make a timely emergency call may exacerbate the injury. To minimize the emergency response time, startups develop crash detection solutions capable of calling emergency services or alerting driver’s emergency contacts.
US-based startup GeoZilla develops a smartphone app that delivers crash detection alerts to driver’s emergency contacts. The app utilizes the smartphone’s motion sensors to identify an accident and sends an alert message with the GPS data of the collision. Additionally, the app registers risk-inducing situations and provides the driver with advice on the best course of action to mitigate risk and better avoid accidents.
Eye-Net enables Collision Prediction & Prevention
Since common collision prediction systems rely on frontal video footage, threats from the sides or during harsh weather conditions may go undetected. As a result, startups utilize mobile cellular communication to develop connected vehicle solutions for crash prevention. Such solutions connect with all surrounding mobile devices, allowing for a comprehensive awareness of the traffic.
Israeli startup Eye-Net develops a vehicle-to-everything (V2X) collision prediction and prevention technology. The startup’s solution relies on the continuous location sharing and monitoring of subscribers’ mobile devices. Eye-Net’s AI-powered solution provides camera-free collision detection for the automotive industry, micromobility, and smart cities.
Tangerine develops Crash Detection for Fleet Management
Fleet managers deal with bad driving, car crashes, and insurance claims on a regular basis. To determine the root cause and provide evidence for insurance claims, they require comprehensive identification of collisions from multiple perspectives. As a result, startups develop complex crash detection solutions by combining AI-powered dash cams and telematics.
Singaporean startup Tangerine develops crash detection solutions for fleet management. The startup provides a range of proprietary Jido products for vehicle tracking and sensing. The startup’s Jiro Sense measures vehicle location, speed, and distance, as well as captures braking, acceleration, and cornering data using an accelerometer, magnetometer, and gyroscope. By combining its data with AI-powered dashcam video analytics, the startup offers fleet managers a comprehensive accident detection tool.
Discover more Automotive startups
Automotive startups such as the examples highlighted in this report focus on sustainable manufacturing, supply chain management, and hybrid vehicles. While all of these technologies play a major role in advancing the automotive sector, they only represent the tip of the iceberg. To explore more space technologies, simply get in touch to let us look into your areas of interest. For a more general overview, you can download our free Automotive Innovation Report to save your time and improve strategic decision-making.
