Rail Vision is a development-stage company working on a collision avoidance system using thermal camera imaging and military technology. The aim is to detect objects in the path of trains and apply autonomous braking systems, if necessary. In addition, it will incorporate sensors and cameras into the on-board system to collect and sell a range of data from the trains’ surroundings including weather metrics, network mapping, infrastructure conditions, etc, to generate recurring revenues.
The business was founded in 2014 by four scientists: Elen Katz, CEO, who has a robotics background with Homeland Security; Shahar Hania (VP, master’s physics/electro optics) and Dr Yuval Isbi (PhD physics/electro optics), both with backgrounds at defence contractor Elbit Systems; and Noam Taich (COO), who has extensive experience in complex stills and videos in defence. RV was incorporated in May 2016 and FRSX acquired a 13.5% stake in August 2016 for NIS2.3m ($0.6m). In August 2016 FRSX increased its stake to 32.0% by exercising warrants, but this year has been diluted back to 24.8% by not taking part in two capital issues totalling $6.0m in August and October 2017. Foresight has warrants to increase its stake to 38.7% for an outlay of $11.4m.
RV was founded to apply ADAS solutions to rail systems, and in particular the problems arising from the extreme high speeds of modern trains vs slow reaction times of humans. At 300-400km per hour, two seconds can see a train move 200m along the track before the brakes are applied. According to the company, many attempts to solve the problem with video cameras have failed because they do not work at night time or in low visibility. RV employs thermal (far infrared) and CCD (image) cameras mounted on top of a driving unit to enable the system to “see” up to 1.5km ahead (in clear line of sight) and autonomously apply brakes while alerting the driver and central controllers of a dangerous object ahead. While the CCD camera provides rich data in the daytime, the infrared camera picks up the different thermal signatures of objects, including “cold” concrete, which has a heat factor 50 times that of rails. This enables the system to operate at night time and in poor light and in a range of severe weather including fog, sand, dust and snow.
Route to market: Gaining traction with major operators
RV is currently approaching the leading European and North American railway operators with the aim of selling complete systems (hardware and integrated software) directly to them. Management believes that it has first-mover advantage in long-range detection based on its discussions with leading European rail companies. RV’s system has successfully completed six trials with Israel Railways and in late 2016 undertook a pilot trial with the Italian national rail operator, FS Italiane, for safety and network mapping services. In February 2017, RV also completed a successful demonstration of its system with Deutsche Bahn, after being selected to take part in DB’s Start-up accelerator programme.
The company plans to release its prototype for its collision avoidance system in Q218 and hopes to achieve sales of several units shortly thereafter to a major European or Israeli railway. It intends to demonstrate the following KPIs in its prototype:
■
Ability to detect objects 1.5km down the track, where there is line of sight.
■
Ability to identify humans, vehicles and small animals to decide if train needs to stop.
■
Provision of highly accurate and reliable object recognition with the lowest rate of false alerts.
■
Conveyance of real-time information to drivers’ controls as well as rail controllers.
■
Ability to be deployed in driven and driverless trains.
State of the market: Safety a key driver, limited competition
To date camera and sensor technology has only been located at key points on the rail networks (eg level crossings) and under track monitoring equipment. Siemens is currently developing a system placing sensors along rail lines to sense objects in the track area and halt trains in the area, if needed. We can see considerable utility for the system in smaller EU rail networks, but believe that capital costs could act as a barrier to widespread application in larger and poorer countries.
RV expects the greatest initial demand to come from highly safety-oriented Europe and the US. Looking at the case for the EU, based on an estimated notional initial $80-100k installed unit cost, we estimate that the system would cost $6.6-8.2bn to install across the EU fleet of 82k locomotives and railcars/ multiple units. According to the European Railway Agency, significant rail accidents cost €2.5bn ($2.8bn) in 2011. In over 85% of cases, the accidents were caused by collisions with objects, not other trains. On this basis, a 25-50% reduction in these collisions would give rise to an attractive 9-21% ROI.
In the US, regulators have introduced a requirement for lines carrying heavy passenger traffic or dangerous cargos to implement positive train control (PTC) systems, originally by end 2015 but extended out to 2020 in the face of poor compliance by railways, some of which threatened to close rather than implement the investments. PTC systems require on-board computers on trains, track-side sensors and a central control radio station, which enable the system to stop trains in the face of a potential collision. Implementation requires complete mapping of the system, and considerable infrastructure investment.
We believe taking cost and distances involved, that there is not a good case for such systems to be deployed in large-scale networks in Russia, China, India and Brazil. Unguarded crossing points and signalling problems pose significant dangers of accidents and derailments, while the large scale of the networks makes trackside infrastructure less economic. On this basis, we expect initial orders for RV’s train-mounted systems from Europe to be followed reasonably swiftly by demand from Russia and Asia.
We see sales of data as being a key part of the business model. With many rail networks crossing remote areas, sensors on trains have applications including weather monitoring, track assessment and mapping of infrastructure. RV intends to actively pursue revenue streams from this area.
Rail Vision: Revenue forecast and valuation
We have modelled Rail Vision’s revenues based on an estimate of the proportion of the existing global PRU fleet that will adopt ADAS systems. We assume that RV will complete its prototype in Q218 and commence sales of its product in the next quarter, with the sale of five units. We assume a gradual increase in the percentage of the global rail fleet to have ADAS systems installed, reaching 1% in 2020 and 5% by 2025. At present, we are not aware of other operators with similarly advanced ADAS systems for rail networks. Nevertheless, given the potential for other small players to emerge in coming years, we have adopted conservative market share assumptions starting at c 40% in 2018-20 and falling to below 20% by 2023.
We have also forecast big data revenues per ADAS-installed PRU at $1,000 per annum, reflecting the wide range of data which will potentially attract buyers, including data on the state of the rail network, surrounding terrain/crops, and weather etc. Based on the above we derive an equity valuation of the company of $79.3m, equivalent to NIS0.0.65 per diluted FRSX share.
Exhibit 12: Rail Vision revenue forecast and valuation
$m |
2017e |
2018e |
2019e |
2020e |
2021e |
2022e |
2023e |
2024e |
2025e |
Global powered rail unit fleet (units)* |
807,594 |
810,017 |
812,447 |
814,884 |
817,329 |
819,781 |
822,240 |
824,707 |
827,181 |
Change (%) |
0.0 |
0.3 |
0.3 |
0.3 |
0.3 |
0.3 |
0.3 |
0.3 |
0.3 |
Market for ADAS systems (% of fleet) |
0.00 |
0.02 |
0.16 |
1.03 |
1.52 |
2.04 |
2.76 |
3.75 |
5.06 |
Total ADAS market (units) |
0 |
166 |
1,335 |
8,400 |
12,444 |
16,740 |
22,686 |
30,913 |
41,861 |
Rail Vision market share (%) |
100 |
39 |
37 |
40 |
33 |
25 |
19 |
17 |
16 |
Rail Vision sales (units) |
0 |
65 |
498 |
3,391 |
4,108 |
4,143 |
4,209 |
5,133 |
6,524 |
Sales price ($k) |
80 |
68 |
58 |
49 |
47 |
44 |
42 |
40 |
38 |
Maintenance charge ($pa/unit fitted) |
5,600 |
4,760 |
4,046 |
3,439 |
3,267 |
3,104 |
2,949 |
2,801 |
2,661 |
Revenues |
0.0 |
4.6 |
30.4 |
176.6 |
217.4 |
225.3 |
233.8 |
277.6 |
338.8 |
EV/Revenue multiple** |
|
4.2 |
4.2 |
|
|
|
|
|
|
Enterprise value |
|
19.2 |
127.7 |
|
|
|
|
|
|
EV discounted to 2017 (WACC 15%) |
|
16.7 |
127.7 |
|
|
|
|
|
|
Average EV: 2018/2019 |
72.2 |
FRST stake (%) |
|
24.8 |
|
|
|
|
Net cash YE16 pro forma plus $6m equity issue in 2017 (estimate) |
7.1 |
Value of FRST stake ($m) |
19.6 |
|
|
|
|
Company valuation |
79.3 |
Value of FRST stake (NIS/share) |
0.65 |
|
|
|
|
Source: Foresight Autonomous Holdings, Edison Investment Research. Note: *We believe that UIC (International Union of Railways) data implying the number of PRUs in the EU, Europe and worldwide at 91k, 124k and 201k are significantly understated, reflecting large-scale privatisation in the industry and poor reporting standards. To overcome this we have applied German multiples of PRU per train km, rail passenger km and rail freight tonne km to the corresponding data for the regions less 30% and 50% discounts, respectively, to the European and worldwide figures to reflect longer trains and heavier cargos, resulting in revised PRU estimates of 121k, 340k and 808k in the EU, Europe and worldwide, respectively. **Based on average EV/Revenue of Tesla (ADAS auto hardware), BII Railway transportation technology (Railway traffic management systems) and Nvidia (Interactive 3D graphics).
Visibility with Rail Vision is very poor as it is unlisted and makes few financial disclosures. Nevertheless, based on our assumption of $1.1m cash at end-2016 and the addition of $6.0m in equity financing during this year ($1.7m in August and $4.3m in October), we apply estimated adjusted cash resources of c $7.1m in Exhibit 12.
Assuming that RV’s products live up to their promise, we expect further funding to come from warrants held by existing shareholders. FRSX has warrants to increase its stake further to 47% by February 2019 for an additional $11.3m.
We have undertaken a valuation of Rail Vision applying EV/revenue multiples of 4.2x. With no real direct listed competitors, we have derived this number from the average current multiples of three companies representing different facets of the Rail Vision business: Tesla (TSLA), which is involved in cutting edge driverless auto technology (trading on an EV/revenue 3.5x), BII Railway (HKG:1522) transportation technology, active in global railway traffic management systems (EV/revenue 4.7x) and Nvidia (NVDA), engaged globally in Interactive 3D graphics with numerous applications including autonomous driving (EV/revenue 4.4x). While Tesla is at a more advanced stage in its development than Rail Vision, we believe that the strong potential upside of both businesses if their autonomous driving products are successful and their focus on selling hardware rather than software provide useful parallels.